Incoming M.S. in Computational Data Science student at Carnegie Mellon. I’m interested in creating models that save money, save lives, automate work, and improve decision-making.
- Python, SQL, SAS, R
- Streamlit (dashboards / apps)
-
Draft Goblin:
https://github.com/coolstick784/draft-goblin-public -
Ask Fitness Science:
https://github.com/coolstick784/Ask-Fitness-Science -
Aldi Price Data (past daily scraping + Streamlit analysis):
https://github.com/coolstick784/Aldi-Price-Data-With-Analysis -
Predicting Services from Diagnoses (SAS Hackathon):
XGBoost models + association rules for service prediction
https://github.com/coolstick784/SAS-Hackathon-BCBSSC-2025 -
Timing Routes (NFL Big Data Bowl 2026):
Notebook + write-up on timing routes
https://github.com/coolstick784/BDB-2026 -
TankingPaper:
Paper on the effects of tanking in the NFL
https://github.com/coolstick784/TankingPaper
- Email: sahil.chugani50@gmail.com
- LinkedIn: https://www.linkedin.com/in/sahil-chugani/