75 Data Science Projects for Every Level

You’ve finished another online course and watched hours of tutorials, but you still don’t feel confident enough to apply for your first Data Science job. It’s a feeling that derails countless aspiring data scientists. This article serves as a roadmap to break through that barrier. In this article, I have curated a list of 75 hands-on Data Science projects designed to build a killer portfolio, sharpen your skills at every level, and turn your knowledge into a career.

Projects to Learn Data Collection, Pipelines, and Preparation

Every great data science project starts with great data. These projects will teach you the essential, non-negotiable skills for getting, cleaning, and organizing data at scale. Don’t skip these.

1. Data Collection using APIs
2. Web Data ETL Pipeline
3. ETL Pipeline using PySpark
4. Data Preprocessing Pipeline
5. MLOps Pipeline using Apache Airflow
6. B2B Courier Charges Accuracy Analysis

Projects to Learn Analytics and Exploratory Data Analysis

Once you have clean data, what stories can it tell? This category is all about asking the right questions, finding patterns, and communicating insights. It is the domain of the Data Analyst and the core of any strategic Data Science role.

1. Exploratory Data Analysis using SQL
2. Netflix Content Strategy Analysis
3. Instagram Content Strategy Optimization
4. YouTube Data Collection and Analysis
5. Financial Data Analysis
6. Analyzing the Impact of Carbon Emissions
7. Cohort Analysis
8. RFM Analysis
9. Analyzing Screen Time
10. Supply Chain Analysis
11. Build An Analytics Dashboard
12. Rainfall Trends in India Analysis
13. Election Ad Spending Analysis
14. Metro Operations Optimization
15. Electric Vehicles Market Size Analysis
16. Impact of Inflation Analysis
17. IPL 2024 RCB vs DC Analysis
18. Batting Intent Analysis in IPL 
19. Food Delivery Cost and Profitability Analysis
20. Website Performance Analysis
21. Audio Data Processing and Analysis

Projects to Learn Core Machine Learning

These projects cover the fundamentals of machine learning, including regression, classification, and clustering. Mastering these will make you a valuable asset to any company.

1. Real Estate Price Prediction
2. Loan Approval Prediction
3. Credit Scoring & Segmentation
4. Car Insurance Modelling
5. Demand Forecasting & Inventory Optimization
6. Classification on Highly Imbalanced Data
7. Compare Multiple ML Models
8. Hybrid Machine Learning Model
9. Stock Market Portfolio Optimization
10. Price Optimization
11. Price Elasticity of Demand Analysis
12. End to End Chatbot
13. Building a Predictive Keyboard Model
14. Next Word Prediction Model
15. Video Chaptering
16. Search Queries Anomaly Detection
17. Geospatial Clustering
18. User Profiling & Segmentation

Projects to Learn Generative AI, LLMs, and Transformers

Large Language Models (LLMs) and Generative AI have changed everything. Having projects in this space on your portfolio signals that you are current, ambitious, and ready for the future of AI.

1. Generative AI Model from Scratch
2. Synthetic Data Generation with Generative AI
3. Fine-tuning LLMs on Your Own Data
4. Text Summarization Model using LLMs
5. Document Analysis using LLMs
6. Code Generation Model using LLMs
7. Text Classification Pipeline with Hugging Face Transformers
8. Image Generation using Diffusion Models
9. Building a Multimodal AI Model
10. Building Synthetic Medical Records using GANs

Projects to Learn Time Series, Recommendations, and More

1. Creating a Mutual Fund Investment Plan
2. Netflix Subscriptions Forecasting
3. Instagram Reach Analysis & Forecasting
4. Multivariate Time Series Forecasting
5. Stock Market Anomaly Detection
6. Music Recommendation System using Spotify API
7. Fashion Recommendation System using Image Features
8. Hybrid Recommendation System
9. Hypothesis Testing
10. Quantitative Analysis of Stock Market
11. Dynamic Pricing Strategy
12. ChatGPT Reviews Analysis
13. App Reviews Sentiment Analysis

Projects to Learn Deployment & AI Agents

1. Packaging Machine Learning Models
2. Deploy Your First ML Model as a REST API
3. Deploy a Machine Learning Model with Docker
4. Building a Multi-Agent System using Gemini API
5. Build an AI Agent to Master a Game
6. Build a Live Machine Learning App
7. Building AI Agents with CrewAI

Many of these projects will require you to have a strong knowledge of Machine Learning algorithms. If you are learning ML Algorithms, my book will help you in your journey. Here are links to find the ebook and paperback versions:

1. Paperback on Amazon
2. Affordable Ebook on Google Play

Final Words

Seeing a list of 75 Data Science projects can be intimidating. Don’t let it be. You don’t need to do all of them. You need to do one. Pick a project weekly from this list that genuinely excites you. Each project you complete is a new story you can tell in an interview, a new skill on your resume.

I hope you liked this article on a list of 75 hands-on Data Science projects for every level. Feel free to ask valuable questions in the comments section below. You can follow me on Instagram for many more resources.