Projects
Pune Housing Price Prediction
A zero-backend web-app for House price prediction and recommendations of similar properties in Pune based on user preferences.
Karnataka Elections Data Analysis
This data-driven analysis explores the Karnataka Assembly Elections, focusing on vote counts, candidate details, vote margins, the Bharat Jodo Yatra, and more key features.
Walmart Sales Analysis and Forecasting
Time series analysis and forecasting of Walmart's weekly sales data to uncover patterns, quantify holiday effects, and predict future trends using statistical and machine learning models.
More projects on the way, very soon!
Resources
Throughout my undergraduate degree, resources like Khan Academy, NPTEL, and MIT OpenCourseWare were essential to my learning—and the fact that they are free made all the difference.
I want to give back by sharing my own notes and resources. While I don't claim to have anything groundbreaking, I believe in making what I have learned available to anyone who might find it useful. Even if these notes help just a few people, I'll be glad they are out there for anyone who needs them.
Data Science and Machine Learning
I maintain a GitHub repository that contains a wide range of resources, including:
- Detailed digital and handwritten notes on Machine Learning, Probability & Statistics, Databases & SQL, Python, and more.
- A collection of Jupyter Notebooks (concept demos, original explorations, and various solutions).
- Additional references sourced from multiple excellent external resources (see specific notes linked below and the README in the repository for more details).
Quick links to my digital notes on Google Docs:
| Name | Link |
|---|---|
| Machine Learning | View Notes |
| Statistics | View Notes |
| Databases and SQL | View Notes |
| Python | View Notes |
These notes are continuously updated as I learn more. For additional details, including major sources and supplementary materials, please visit the repository's README. If you have any questions, need clarification, or encounter missing links, feel free to contact me anytime!
About Me
I'm a data scientist with a passion for solving problems through data. I love taking on new challenges, coding, and analyzing data. Always eager to learn and share, I have a deep appreciation for mathematics and aim to explore deep learning research. In the future, I hope to become an educator and inspire others, especially in mathematics.
Recently, I worked at a SaaS company, where I developed interactive dashboards and integrated them into the product using vanilla JavaScript on the frontend and SQL and Python on the backend.
My bachelor's degree is in Chemical Engineering, though I shifted to data science—not because I disliked ChemE, but because it felt like a better fit for me. During undergrad, I was on the design team of our college's BAJA SAE Team , where we built an ATV from scratch for a national competition. It was an intense, hands-on experience that gave me a new perspective on design and teamwork.
Outside of work, I volunteer with Forengers , a Pune-based NGO dedicated to fighting climate change, where I head the Tech Team. I supervise maintenance and development of our website; sensitive internal automations; and anything and everything else that requires technical expertise. I also help with central management for our Operations Team. In my free time, I enjoy playing badminton and making terrible attempts at wooden staff spinning and (pretend) sword-fighting.
I am also sort of a compulsive note taker. So, if you're a DS/ML person, you can check out my notes above . You might find them interesting :)