Ananya Agarwal Logo Image
Ananya Agarwal

Hi, I am Ananya

Machine Learning and Statistics | Student Entrepreneur

About Me

Hey! I am graduating from Boston University with a Bachelor's in Economics and Mathematics with minors in Data Science and Business. I'm an Aspiring Data Scientist located in Boston (open to relocating).

As a student, I have launched a startup, Communiti , an AI powered platform for on-campus club engagment (New Venture Competition, Innovate@BU). Moreover, I've worked as a Machine Learning Intern at a clean energy startup, Summer Associate with an impact investing startup, Associate Consultant to SVP of a fintech company, Research Assistant for BU's Global Development Policy Center, and published research in the field of game theory and cyber security at ECCWS'25.

I am enthustiastic about using data to drive decision making and build products that help people. Feel free to contact me here.

Contact

My Skills

Python
MySQL
R
Rust
Stata
HTML/CSS
Google Cloud Platform
Azure
Supabase
Firebase
Cursor AI
Lovable AI

Projects My projects include passion projects, hackathons, and coursework.

Software Screenshot

Communiti V0

This website is a platform for students to use advanced filtering to find the perfect club on BU's campus. I scraped data using Selenium and stored it in a Supabase database. Then using Lovable AI, I created a frontend for user interaction.

Try it out!
Software Screenshot

Social Network Analysis

Developed a Rust-based analysis of a 4,039-node Facebook network dataset using Jaccard similarity to identify social clusters and high-impact connections. It aims to uncover influential nodes and possible clusters within the vast Facebook user base

Link to Github
Software Screenshot

Farmer Demographics and Inflation in U.S. Agriculture

As part of the HDSI Agri Datathon 2024 project, we analyzed farmer demographics and productivity across over 3,000 U.S. counties. We used NASS data, adjusted for inflation to accurately assess crop sales trends.

Link to Github
Software Screenshot

Statistical Modelling in R

Built statistical models using R (linear regression, LASSO, stepwise) on BMW Price Dataset (4,843 records) to achieve 79.2% model accuracy and 80% variance explanation for pricing insights.

Link to Github
Software Screenshot

Sustainobots

Prototyped a Django web app for GALY using Python, OpenAI API, and ML models (Random Forest, XGBoost) to optimize crop selection based on research papers available online, improving research efficiency by 30%

Link to Github

Contact I am always looking for new opportunities to learn and grow. Feel free to reach out!