{"id":17597,"date":"2026-08-12T07:16:31","date_gmt":"2026-08-12T07:16:31","guid":{"rendered":"https:\/\/shoolini.online\/blog\/?p=17597"},"modified":"2026-08-12T07:16:34","modified_gmt":"2026-08-12T07:16:34","slug":"data-science-project-ideas-for-students","status":"publish","type":"post","link":"https:\/\/shoolini.online\/blog\/data-science-project-ideas-for-students\/","title":{"rendered":"Data Science Project Ideas in 2026: A Level-by-Level Guide to Building a Portfolio"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"17597\" class=\"elementor elementor-17597\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2d0c7b33 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2d0c7b33\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5b25ead5\" data-id=\"5b25ead5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-333d3f3c elementor-widget elementor-widget-text-editor\" data-id=\"333d3f3c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">If you are studying data science or trying to get into the field and your portfolio is empty, data science project ideas are what you need to start with before anything else. Certifications and course completions matter far less to recruiters in 2026 than a GitHub profile with three to five finished projects that solve a real problem, use a real dataset and demonstrate that you can take a question all the way from raw data to a working solution. <br \/>The challenge is that most lists of data science project ideas online are either too vague to be useful or pitched at a level that does not match where you actually are. This blog covers data science project ideas across beginner, intermediate and advanced levels, explains what each project teaches, which tools it requires and how to present it in a way that makes a recruiter or interviewer take notice.<\/span><\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-56cd79ac elementor-widget elementor-widget-heading\" data-id=\"56cd79ac\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why Choosing the Right Data Science Project Ideas Matters for Your Career<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f64c1cb elementor-widget elementor-widget-image\" data-id=\"f64c1cb\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"585\" src=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-about-choosing--1024x585.png\" class=\"attachment-large size-large wp-image-17613\" alt=\"Data science project portfolio infographic showing recruiter-focused projects, domain-specific applications, key technical skills, project timelines, Kaggle datasets, deployment, and MCA in Data Science skills.\" srcset=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-about-choosing--1024x585.png 1024w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-about-choosing--300x172.png 300w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-about-choosing--768x439.png 768w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-about-choosing--150x86.png 150w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-about-choosing-.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-61feae8e elementor-widget elementor-widget-text-editor\" data-id=\"61feae8e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Not all data science project ideas deliver the same career value. Here is what to understand before picking your first or next project:<\/span><\/span><\/span><\/p><ul><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Recruiters in 2026 evaluate portfolios in under 90 seconds before deciding whether to click through, which means a project with a clear problem statement, a readable README and a deployed output is noticed while a collection of half-finished notebooks with no explanation is typically skipped<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Data science project ideas that solve a domain-specific problem such as fraud detection in finance, demand forecasting in retail or patient readmission prediction in healthcare are significantly more memorable in interviews than generic projects because they demonstrate that you understand both the technical and the business side of a problem<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">The skills you demonstrate through your data science project ideas matter more than the tools you use, and a project that shows strong data cleaning, thoughtful feature engineering and rigorous model evaluation is more impressive to a hiring manager than one that uses a trendy framework but has superficial analysis<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Beginners should spend one to two weeks on each project and intermediate to advanced learners should expect two to four weeks per project, which means a portfolio of three solid data science project ideas built over one academic year is a realistic and achievable target<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Kaggle datasets are a strong starting point for data science project ideas because they are clean, recognisable to recruiters and accompanied by discussions that help you understand what approaches others have tried, which gives you a benchmark for your own work<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Deploying your data science project ideas as live web applications using free platforms like Streamlit Cloud, Render or Railway gives recruiters a link they can click rather than code they have to run locally, which significantly increases the probability that they actually interact with your work<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">An MCA in Data Science builds the foundational skills needed to execute these projects effectively, covering machine learning, big data analytics, AI, cloud computing and database management, with the eligibility requirement being a bachelor&#8217;s degree in any discipline with 50% marks and 45% for reserved category candidates, with no entrance exam required<\/span><\/span><\/span><\/p><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-197acc09 elementor-widget elementor-widget-heading\" data-id=\"197acc09\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Beginner Data Science Project Ideas to Start Building Your Portfolio<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4e88f6c elementor-widget elementor-widget-image\" data-id=\"4e88f6c\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1024\" height=\"585\" src=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-begi-1024x585.png\" class=\"attachment-large size-large wp-image-17612\" alt=\"Beginner data science projects infographic featuring house price prediction, student performance, expense tracking, movie recommendations, weather analysis, Titanic prediction, and the core data science workflow.\" srcset=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-begi-1024x585.png 1024w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-begi-300x172.png 300w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-begi-768x439.png 768w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-begi-150x86.png 150w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-begi.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-13a7f532 elementor-widget elementor-widget-text-editor\" data-id=\"13a7f532\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">These data science project ideas are designed for students in the first six months of learning. Each one teaches essential skills without requiring advanced knowledge of machine learning or statistics:<\/span><\/span><\/span><\/p><ul><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">House price prediction is the most widely recommended starting data science project idea for good reason: it teaches linear regression, feature engineering with real estate attributes and the full model evaluation workflow using RMSE and R-squared, all of which appear in technical interview questions across analytics and data science roles<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Student performance prediction uses academic, demographic and social data to predict whether a student will pass or fail, introducing you to classification algorithms, handling categorical variables and working with a dataset that has real social implications, which makes it a more engaging project to build and explain than a purely abstract exercise<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Personal expense tracker and dashboard is a practical data science project idea that involves building a structured dataset from your own spending, cleaning and categorising it and visualising patterns using Matplotlib or Seaborn, which teaches data wrangling and visualisation without requiring any machine learning knowledge at all<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Movie recommendation system is a beginner-friendly project that introduces collaborative filtering and content-based filtering using the MovieLens dataset, which is publicly available, well-documented and produces a result that is immediately intuitive to anyone who uses Netflix or Amazon Prime<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Weather data analysis and visualisation pulls data from a public API such as Open-Meteo, processes it into structured form and builds a visual dashboard showing temperature trends, precipitation patterns and seasonal variation, teaching you API integration, Pandas data manipulation and Matplotlib or Plotly visualisation in a single project<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Titanic survival prediction is the classic entry-level classification data science project idea that teaches handling missing values, encoding categorical variables like gender and passenger class, training a logistic regression or decision tree model and evaluating it with accuracy, precision and recall metrics<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">The common thread across all beginner data science project ideas is that they teach the core pipeline: load data, clean data, explore data, build a simple model, evaluate it and present the result, and completing two to three projects at this level gives you the foundation to move confidently to the intermediate tier<\/span><\/span><\/span><\/p><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-27a76fcc elementor-widget elementor-widget-heading\" data-id=\"27a76fcc\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Intermediate Data Science Project Ideas for a Stronger Portfolio<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f2b62f0 elementor-widget elementor-widget-image\" data-id=\"f2b62f0\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1024\" height=\"585\" src=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-featuring-inter-1024x585.png\" class=\"attachment-large size-large wp-image-17611\" alt=\"Intermediate data science project infographic covering fraud detection, customer segmentation, sentiment analysis, stock forecasting, employee churn, resume screening, and network anomaly detection.\" srcset=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-featuring-inter-1024x585.png 1024w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-featuring-inter-300x172.png 300w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-featuring-inter-768x439.png 768w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-featuring-inter-150x86.png 150w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-featuring-inter.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-51afe1d6 elementor-widget elementor-widget-text-editor\" data-id=\"51afe1d6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Once you have the basics down, these data science project ideas push you into feature engineering, multiple data sources and the kind of depth that separates a student portfolio from a hire-ready one:<\/span><\/span><\/span><\/p><ul><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Credit card fraud detection is one of the most practically relevant intermediate data science project ideas and teaches you how to handle severely imbalanced datasets where fraud cases are less than 1 percent of total transactions, which is a challenge you encounter in almost every real financial analytics role<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Customer segmentation using clustering algorithms like K-Means and DBSCAN on an e-commerce dataset teaches unsupervised learning, how to choose the number of clusters using the elbow method and silhouette score and how to interpret cluster profiles in a way that a business team could act on<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Sentiment analysis on product reviews or social media data using natural language processing introduces text preprocessing, TF-IDF and word embeddings and binary or multi-class sentiment classification, all of which are directly applicable in marketing analytics, customer experience and social listening roles<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Stock market trend analysis uses historical price data from Yahoo Finance, applies technical indicators and time series analysis and builds a forecasting model using ARIMA or LSTM, which is one of the data science project ideas that is both technically demanding and instantly recognisable to interviewers in the BFSI sector<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Employee churn prediction uses HR datasets to predict which employees are likely to leave, combining data from multiple sources with different structures and teaching merging, string cleaning, derived feature creation and the business interpretation of attrition model outputs in a people analytics context<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Resume screening with natural language processing is an intermediate data science project idea that builds a system to rank resumes against a job description using cosine similarity and TF-IDF or sentence transformers, which is directly relevant to HR analytics roles and demonstrates both NLP skills and practical product thinking<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Network traffic anomaly detection introduces you to time series data, statistical anomaly detection methods and machine learning-based approaches, and is one of the data science project ideas most relevant to cybersecurity analytics roles that are growing rapidly in India in 2026<\/span><\/span><\/span><\/p><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a80ef3e elementor-widget elementor-widget-heading\" data-id=\"7a80ef3e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Advanced Data Science Project Ideas for Final Year Students and Job-Ready Portfolios<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6675425 elementor-widget elementor-widget-image\" data-id=\"6675425\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"585\" src=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-adva-1024x585.png\" class=\"attachment-large size-large wp-image-17610\" alt=\"Advanced data science project infographic featuring healthcare prediction, IPO forecasting, RAG document Q&amp;A, recommendation engines, misinformation detection, reinforcement learning, and LLM chatbots.\" srcset=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-adva-1024x585.png 1024w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-adva-300x172.png 300w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-adva-768x439.png 768w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-adva-150x86.png 150w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showcasing-adva.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-74de25f9 elementor-widget elementor-widget-text-editor\" data-id=\"74de25f9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">These data science project ideas demonstrate end-to-end capability including deep learning, deployment and domain expertise that hiring managers at companies like Accenture, Deloitte and KPMG are specifically looking for:<\/span><\/span><\/span><\/p><ul><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Disease prediction and healthcare diagnostics using patient data and clinical features to classify risk of diabetes, heart disease or cancer is one of the most impactful advanced data science project ideas because the domain is high-stakes, the publicly available datasets like the Pima Indians Diabetes Dataset are well-known to interviewers and the project naturally raises discussions about model interpretability and clinical deployment<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Predicting IPO listing gains in the Indian market using financial ratios, industry data and market sentiment features combined with a deep learning model in PyTorch is a domain-specific advanced project that is particularly notable in a stack of portfolios since most beginners use image or text data in their deep learning projects and a finance-domain neural network immediately stands out<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">RAG-based document question answering builds a retrieval-augmented generation system that takes a set of documents, embeds them using a sentence transformer model and answers user queries with accurate citations from the source material, which is one of the generative AI data science project ideas that is directly relevant to roles in AI product management, legal tech and enterprise knowledge management<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Real-time product recommendation engine deployed as a web application uses collaborative filtering or a neural collaborative filtering model, connects to a database, serves recommendations through a FastAPI backend and is displayed through a Streamlit frontend, demonstrating full-stack data science capability that many candidates claim but few actually show<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Social media influence and misinformation detection uses graph analysis on network data to identify coordinated inauthentic behaviour, applying graph neural networks or community detection algorithms, which is a technically sophisticated data science project idea that is relevant to media, social platforms and government policy roles<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Autonomous driving simulation using a reinforcement learning agent in an OpenAI Gym environment teaches you the fundamentals of reinforcement learning, reward shaping and policy evaluation in a concrete setting, which is one of the advanced data science project ideas that signals serious technical ambition to interviewers at deep tech companies<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">A chatbot built with large language model integration combining a fine-tuned or prompted LLM with a custom knowledge base demonstrates generative AI application development skills that are among the most in-demand technical capabilities in the Indian job market in 2026 according to NASSCOM hiring data<\/span><\/span><\/span><\/p><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-72a9f7ce elementor-widget elementor-widget-heading\" data-id=\"72a9f7ce\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Domain-Specific Data Science Project Ideas That Stand Out in Interviews<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e1cbd0e elementor-widget elementor-widget-image\" data-id=\"e1cbd0e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"585\" src=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showing-how-dom-1024x585.png\" class=\"attachment-large size-large wp-image-17609\" alt=\"Infographic showing domain-specific data science project ideas across healthcare, retail, agriculture, finance, logistics and education technology, with a focus on business impact.\" srcset=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showing-how-dom-1024x585.png 1024w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showing-how-dom-300x172.png 300w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showing-how-dom-768x439.png 768w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showing-how-dom-150x86.png 150w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-showing-how-dom.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a8b0458 elementor-widget elementor-widget-text-editor\" data-id=\"7a8b0458\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Generic data science project ideas compete with thousands of similar portfolios. Domain-specific projects are what make interviewers stop and pay attention. Here is a set of ideas organised by industry:<\/span><\/span><\/span><\/p><ul><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">In healthcare, patient readmission prediction using hospital discharge data, medical coding features and comorbidity indices is a project that is immediately credible to healthcare analytics interviewers because it represents a real operational problem that every hospital system in India is trying to solve<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">In retail and e-commerce, demand forecasting for a specific product category using seasonality decomposition, promotional event flags and external signals like weather and public holidays is the kind of data science project idea that directly mirrors what a business analyst or data scientist at a consumer goods company would work on in their first six months<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">In agriculture, crop yield prediction using satellite imagery indices like NDVI, soil quality data and weather variables is a high-impact data science project idea that is particularly relevant in India where agritech is a growing investment sector and the government&#8217;s digital agriculture initiatives are creating real demand for data talent<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">In banking and finance, credit risk scoring that goes beyond the standard logistic regression model to include explainability using SHAP values demonstrates that you understand not just how to build a model but how to communicate its outputs in a way that a compliance team or a credit committee can actually use<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">In logistics and supply chain, route optimisation using vehicle routing problem formulations and heuristic algorithms like simulated annealing or genetic algorithms is an operations research flavoured data science project idea that is immediately relevant to e-commerce logistics, pharma distribution and manufacturing supply chain analytics roles<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">In education technology, learning path recommendation using collaborative filtering on student activity data to recommend the next lesson or exercise is a data science project idea that aligns directly with India&#8217;s large and growing edtech sector and demonstrates product-oriented data science thinking<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Choosing a domain that aligns with the industry you want to work in before building your data science project ideas is consistently recommended by career advisors because it means every technical conversation in an interview naturally connects to real business problems you have already thought through<\/span><\/span><\/span><\/p><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-453dd946 elementor-widget elementor-widget-heading\" data-id=\"453dd946\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How to Build and Present Data Science Project Ideas So They Actually Get Noticed<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c0123aa elementor-widget elementor-widget-image\" data-id=\"c0123aa\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"585\" src=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-explaining-how--1024x585.png\" class=\"attachment-large size-large wp-image-17608\" alt=\"Infographic showing six steps to make data science projects stand out, including problem definition, GitHub documentation, clean code, deployment, LinkedIn promotion and interview preparation.\" srcset=\"https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-explaining-how--1024x585.png 1024w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-explaining-how--300x172.png 300w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-explaining-how--768x439.png 768w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-explaining-how--150x86.png 150w, https:\/\/shoolini.online\/blog\/wp-content\/uploads\/2026\/08\/create-a-clean-modern-infographic-explaining-how-.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c49961c elementor-widget elementor-widget-text-editor\" data-id=\"c49961c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">A well-chosen data science project idea that is poorly executed or poorly presented will not move your application forward. Here is how to build and show your work in a way that gets results:<\/span><\/span><\/span><\/p><ul><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Start every data science project with a clear problem statement written in one sentence, identifying the business question, the target variable and the success metric, because projects that begin with a defined question produce sharper analysis and more coherent write-ups than those that start by exploring data with no clear direction<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Structure your GitHub repository with a clear README that covers the problem statement, dataset source, methodology, key findings and instructions for running the code, since recruiters who open a repository and find no documentation typically close it in under 30 seconds without reviewing the code<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Use Jupyter notebooks for exploratory analysis but convert your final data science project into a clean Python script or a modular codebase before adding it to your portfolio, since a well-organised script shows engineering discipline that a notebook alone does not demonstrate<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Deploy every project you are proud of as a live application using Streamlit for data apps or FastAPI for model serving, and include the deployment link in your GitHub README and LinkedIn profile so that a recruiter can interact with your work in under 60 seconds without any setup on their end<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Write one to two paragraphs about each data science project idea you built on LinkedIn describing the problem, your approach and what you learned, since this type of content consistently outperforms generic professional posts in terms of recruiter engagement and gets your profile surfaced in the feeds of people working in the roles you are targeting<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Prepare to discuss every project in a technical interview at two levels: the high-level business problem and the specific technical decisions you made, including why you chose a particular algorithm over alternatives, how you handled missing data and what the model&#8217;s limitations are, since interviewers consistently probe exactly these areas to separate candidates who built a project from those who understand what they built<\/span><\/span><\/span><\/p><\/li><li><p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Average placement packages for MCA Data Science graduates range from 4.6 to 8.4 LPA with top offers reaching 42 LPA at companies including Accenture, Deloitte, KPMG, Genpact and ICICI, and the portfolio of data science project ideas you build during your program is directly correlated with where in that salary range you land<\/span><\/span><\/span><\/p><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-477c37ac elementor-widget elementor-widget-heading\" data-id=\"477c37ac\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-44010835 elementor-widget elementor-widget-text-editor\" data-id=\"44010835\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><span style=\"font-family: Arial, serif;\"><span style=\"font-size: medium;\">Data science project ideas are not just academic exercises. They are the evidence that determines whether a recruiter reads your resume for 10 seconds or 10 minutes.<br \/>Starting with beginner projects that teach the core pipeline, moving to intermediate work that builds domain depth and eventually completing one or two advanced projects that demonstrate end-to-end capability is the trajectory that consistently produces hire-ready portfolios in 2026. The domain you pick for your projects matters, the quality of your write-up matters and whether you deploy your work so people can interact with it matters. <br \/>Every data science project idea on this list is achievable during an MCA in Data Science program if you start in semester one rather than semester four. 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}\r\n}\r\n<\/style>\r\n\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dc36371 elementor-widget elementor-widget-html\" data-id=\"dc36371\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<!-- Replace your entire existing Sources & References component with this -->\r\n\r\n<style>\r\n.sou-sources-box {\r\n  background: #ffffff;\r\n  border: 1px solid #ececec;\r\n  border-radius: 12px;\r\n  padding: 22px 24px;\r\n  font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, sans-serif;\r\n  box-shadow: 0 10px 28px rgba(0,0,0,0.06);\r\n}\r\n\r\n.sou-sources-header {\r\n  display: flex;\r\n  align-items: center;\r\n  justify-content: space-between;\r\n  gap: 10px;\r\n  margin-bottom: 4px;\r\n}\r\n\r\n.sou-header-left {\r\n  display: flex;\r\n  align-items: center;\r\n  gap: 10px;\r\n  flex-wrap: wrap;\r\n}\r\n\r\n.sou-sources-title {\r\n  color: #111;\r\n  font-size: 18px;\r\n  margin: 0;\r\n  font-weight: 600;\r\n}\r\n\r\n.sou-sources-badge {\r\n  font-size: 11px;\r\n  font-weight: 600;\r\n  background: #f0fdf4;\r\n  color: #16a34a;\r\n  border: 1px solid #bbf7d0;\r\n  border-radius: 20px;\r\n  padding: 2px 10px;\r\n}\r\n\r\n.sou-toggle-btn {\r\n  width: 38px;\r\n  height: 38px;\r\n  border-radius: 10px;\r\n  border: 1px solid #eee;\r\n  background: #fafafa;\r\n  cursor: pointer;\r\n  display: flex;\r\n  flex-direction: column;\r\n  align-items: center;\r\n  justify-content: center;\r\n  gap: 4px;\r\n  transition: 0.25s ease;\r\n  flex-shrink: 0;\r\n}\r\n\r\n.sou-toggle-btn:hover {\r\n  background: #fff0fb;\r\n  border-color: #ffd4f5;\r\n}\r\n\r\n.sou-toggle-btn span {\r\n  width: 16px;\r\n  height: 2px;\r\n  background: #444;\r\n  border-radius: 10px;\r\n}\r\n\r\n.sou-content {\r\n  overflow: hidden;\r\n  transition: max-height 0.45s ease, opacity 0.3s ease, margin-top 0.3s ease;\r\n  max-height: 5000px;\r\n  opacity: 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a:hover {\r\n  color: #fd1d1d;\r\n  border-bottom-color: #ff49dc;\r\n}\r\n\r\n.sou-sources-list .sou-src-label {\r\n  font-weight: 600;\r\n  color: #111;\r\n  margin-right: 3px;\r\n}\r\n\r\n.sou-sources-list .sou-src-data {\r\n  color: #555;\r\n}\r\n\r\n.sou-sources-footer {\r\n  margin-top: 16px;\r\n  padding-top: 12px;\r\n  border-top: 1px solid #f0f0f0;\r\n  font-size: 11.5px;\r\n  color: #999;\r\n  display: flex;\r\n  align-items: center;\r\n  gap: 6px;\r\n}\r\n\r\n.sou-sources-footer-dot {\r\n  width: 6px;\r\n  height: 6px;\r\n  border-radius: 50%;\r\n  background: #4ade80;\r\n  flex-shrink: 0;\r\n}\r\n\r\n@media (max-width: 600px) {\r\n  .sou-sources-list {\r\n    columns: 1;\r\n  }\r\n\r\n  .sou-sources-box {\r\n    padding: 18px 16px;\r\n  }\r\n\r\n  .sou-sources-title {\r\n    font-size: 16px;\r\n  }\r\n}\r\n<\/style>\r\n\r\n<div class=\"sou-sources-box\">\r\n\r\n  <div class=\"sou-sources-header\">\r\n    <div class=\"sou-header-left\">\r\n      <h3 class=\"sou-sources-title\">\ud83d\udcd6 Sources & References<\/h3>\r\n      <span class=\"sou-sources-badge\">\u2713 Verified 2026<\/span>\r\n    <\/div>\r\n\r\n\r\n<button class=\"sou-toggle-btn\" id=\"souToggleBtn\">\r\n  <span><\/span>\r\n  <span><\/span>\r\n  <span><\/span>\r\n<\/button>\r\n\r\n\r\n  <\/div>\r\n\r\n  <div class=\"sou-content\" id=\"souContent\">\r\n\r\n\r\n\r\n<p class=\"sou-sources-desc\">Verified online MBA career, placement, employability, salary and skills insights based on recognised government, educational and industry sources.<\/p>\r\n\r\n<hr class=\"sou-sources-divider\">\r\n\r\n<ol class=\"sou-sources-list\">\r\n\r\n<li>\r\n<span class=\"sou-src-label\">UGC India<\/span>\r\n<a href=\"https:\/\/www.ugc.gov.in\" target=\"_blank\" rel=\"noopener nofollow\">\r\n<span class=\"sou-src-data\">Recognition of online degree programmes, higher education regulations and academic quality standards<\/span>\r\n<\/a>\r\n<\/li>\r\n\r\n<li>\r\n<span class=\"sou-src-label\">UGC-DEB<\/span>\r\n<a href=\"https:\/\/deb.ugc.ac.in\" target=\"_blank\" rel=\"noopener nofollow\">\r\n<span class=\"sou-src-data\">Recognition and regulatory information for recognised online and distance education programmes<\/span>\r\n<\/a>\r\n<\/li>\r\n\r\n<li>\r\n<span class=\"sou-src-label\">Ministry of Education<\/span>\r\n<a href=\"https:\/\/www.education.gov.in\" target=\"_blank\" rel=\"noopener nofollow\">\r\n<span class=\"sou-src-data\">Higher education policies, skill development initiatives and national education frameworks<\/span>\r\n<\/a>\r\n<\/li>\r\n\r\n<li>\r\n<span class=\"sou-src-label\">GMAC<\/span>\r\n<a href=\"https:\/\/www.gmac.com\" target=\"_blank\" rel=\"noopener nofollow\">\r\n<span class=\"sou-src-data\">MBA employer hiring trends, graduate employability, skills demand and business education insights<\/span>\r\n<\/a>\r\n<\/li>\r\n\r\n<li>\r\n<span class=\"sou-src-label\">World Economic Forum<\/span>\r\n<a href=\"https:\/\/www.weforum.org\" target=\"_blank\" rel=\"noopener nofollow\">\r\n<span class=\"sou-src-data\">Future of Jobs research, emerging skills, AI adoption and workforce transformation trends<\/span>\r\n<\/a>\r\n<\/li>\r\n\r\n<li>\r\n<span class=\"sou-src-label\">LinkedIn Workforce Insights<\/span>\r\n<a href=\"https:\/\/economicgraph.linkedin.com\" target=\"_blank\" rel=\"noopener nofollow\">\r\n<span class=\"sou-src-data\">Hiring trends, in-demand skills, workforce development and professional career insights<\/span>\r\n<\/a>\r\n<\/li>\r\n\r\n<li>\r\n<span class=\"sou-src-label\">NASSCOM<\/span>\r\n<a href=\"https:\/\/nasscom.in\" target=\"_blank\" rel=\"noopener nofollow\">\r\n<span class=\"sou-src-data\">India technology workforce trends, digital skills demand and industry employability insights<\/span>\r\n<\/a>\r\n<\/li>\r\n\r\n<li>\r\n<span class=\"sou-src-label\">National Career Service<\/span>\r\n<a href=\"https:\/\/www.ncs.gov.in\" target=\"_blank\" rel=\"noopener nofollow\">\r\n<span class=\"sou-src-data\">Career guidance, employability resources, job-market information and professional development<\/span>\r\n<\/a>\r\n<\/li>\r\n\r\n<li>\r\n<span class=\"sou-src-label\">Shoolini Online<\/span>\r\n<a href=\"https:\/\/shoolini.online\" target=\"_blank\" rel=\"noopener\">\r\n<span class=\"sou-src-data\">Online MBA programmes, specialisations, career guidance and industry-focused management education<\/span>\r\n<\/a>\r\n<\/li>\r\n\r\n<li>\r\n<span class=\"sou-src-label\">National Education Policy 2020<\/span>\r\n<a href=\"https:\/\/www.education.gov.in\/nep\/about-nep\" target=\"_blank\" rel=\"noopener nofollow\">\r\n<span class=\"sou-src-data\">Flexible higher education, skill development and employability-focused learning framework<\/span>\r\n<\/a>\r\n<\/li>\r\n\r\n<\/ol>\r\n\r\n<div class=\"sou-sources-footer\">\r\n<div class=\"sou-sources-footer-dot\"><\/div>\r\nAll links open verified government, educational and industry sources. Information reflects 2026 online MBA education, employability and career trends.\r\n<\/div>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n  <\/div>\r\n\r\n<\/div>\r\n\r\n<script>\r\ndocument.addEventListener(\"DOMContentLoaded\", function () {\r\n\r\n  const btn = document.getElementById(\"souToggleBtn\");\r\n  const content = document.getElementById(\"souContent\");\r\n\r\n  btn.addEventListener(\"click\", function () {\r\n    content.classList.toggle(\"closed\");\r\n  });\r\n\r\n});\r\n<\/script>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>If you are studying data science or trying to get into the field and your portfolio is empty, data science project ideas are what you need to start with before anything else. Certifications and course completions matter far less to recruiters in 2026 than a GitHub profile with three to five finished projects that solve [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":17614,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[4059,4064,4216,4213,4215,3934,4219,4214,4218,4217],"class_list":["post-17597","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-dataanalytics","tag-datascience","tag-datasciencecareer","tag-datascienceprojectideas","tag-datascienceprojects","tag-machinelearning","tag-portfolioprojects","tag-pythonprojects","tag-studentprojects","tag-techskills"],"_links":{"self":[{"href":"https:\/\/shoolini.online\/blog\/wp-json\/wp\/v2\/posts\/17597","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shoolini.online\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/shoolini.online\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/shoolini.online\/blog\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/shoolini.online\/blog\/wp-json\/wp\/v2\/comments?post=17597"}],"version-history":[{"count":15,"href":"https:\/\/shoolini.online\/blog\/wp-json\/wp\/v2\/posts\/17597\/revisions"}],"predecessor-version":[{"id":17619,"href":"https:\/\/shoolini.online\/blog\/wp-json\/wp\/v2\/posts\/17597\/revisions\/17619"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/shoolini.online\/blog\/wp-json\/wp\/v2\/media\/17614"}],"wp:attachment":[{"href":"https:\/\/shoolini.online\/blog\/wp-json\/wp\/v2\/media?parent=17597"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shoolini.online\/blog\/wp-json\/wp\/v2\/categories?post=17597"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shoolini.online\/blog\/wp-json\/wp\/v2\/tags?post=17597"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}