About me
Computer Science and Applied Mathematics & Statistics Major 👋🏽
Hi, I'm Bhishma Gaudani, a Computer Science and Applied Mathematics & Statistics major at Stony Brook University, New York.
Stony Brook University · Part-time
Jan 2026 – Present · 7 mos · Stony Brook, New York, United States
CRIZM · Part-time
Jan 2026 – May 2026 · 5 mos · Stony Brook, New York, United States · On-site
Core Engineering Team
Stony Brook University · Part-time
Oct 2025 – Dec 2025 · 3 mos · Stony Brook University, New York, United States
Stony Brook University
Dec 2024 – Present · 1 yr 8 mos · Stony Brook University, New York, United States
Student Assistant to the Building Manager of the Charles B. Wang Center. Assisted in daily operations and administrative tasks for the Charles B. Wang Center, which hosts conferences, theatrical performances, and other campus events.
Web Development Club of Stony Brook University
Nov 2024 – Present · 1 yr 9 mos
Clever Harvey · Internship
May 2023 – Aug 2023 · 4 mos · India · Remote
DI Solutions · Internship
May 2021 – Jun 2021 · 2 mos · India · On-site
A prediction model for the 2026 FIFA World Cup. It builds Elo ratings from 49,000+ international matches dating back to 1872, trains win/draw/loss models on top of them, and runs 50,000 Monte Carlo simulations of the official tournament bracket to generate championship probabilities for all 48 teams. The model is validated with walk-forward testing on the last five World Cups (2006–2022), reaching a log-loss of 0.959, close to the betting-market benchmark of ~0.95. On a harder out-of-sample test (2,673 matches from 2023–2026 never seen during training), it hits 62% accuracy with well-calibrated probabilities.
SeawolfStudy is a web application built with Python, Streamlit, and Geopy that enables students at Stony Brook University to view, track, and update real-time study spot availability on an interactive campus map. The app leverages geofencing to trigger proximity-based prompts and improve decision-making for over 100 pilot users. A SQLite backend with hashed authentication secures user accounts while automated 30-minute rolling updates ensure reliable crowd-level reporting. By integrating interactive maps and notifications, the platform helps students optimize study space selection and reduces inaccurate status logs by 40%.
A team hackathon project (built with Amir Hamza and Ritesh Chavan) that turns Stony Brook course feedback and grading data into actionable insights for students, educators, and administrators. An ETL pipeline built with Pandas processes raw course data, a HuggingFace sentiment pipeline scores feedback text, and Spacy handles NLP query parsing. A Flask web app wraps it all in a chatbot interface powered by OpenAI's GPT-3.5 Turbo, letting users ask natural-language questions about course difficulty, sentiment, and recommendations in real time.
A simple Python project for analyzing and visualizing historical stock data. This project focuses on fetching, processing, and plotting financial data for selected stocks such as Nvidia and Netflix. Since I am interested in quantitative finance, I started with this basic project to learn how to analyze stocks. I created graphs showing the open price, closing price, volume, high price, and low price over a 5-year period for Nvidia and Netflix. I also calculated the daily range and other key metrics to help with valuation, risk analysis, and momentum analysis of the stocks.
@BhishmaGaudani on GitHub
Socials
Email: bhishmajayanti.gaudani@stonybrook.edu
GitHub: GitHub Profile
LinkedIn: LinkedIn Profile