Blending a foundation in technology with a passion for business, I specialize in bridging the gap between numbers and narratives. My goal? To create smart, data-driven solutions that are as human as they are analytical.
Beyond building tech that understands people, I’m often found curled up with a book or getting in a solid workout, because brains and biceps both deserve attention ;))
New York University, Courant Institute — MS in Information Systems (2023–2025)
GPA: 3.6
MIT Pune — Postgraduate Certification in Business Analytics (2022–2023)
CGPA: 10
University of Mumbai — Bachelor of Management Studies (2019–2022)
CGPA: 9.85
Built a predictive analytics solution for auto insurance claims using real-world data, logistic regression, and EDA visualizations. Streamlined dashboards offered intuitive insights into risk categories and claim prediction, ideal for actuaries and data-driven decision-makers.
Used WHO and World Bank data to model and visualize the economic impact of chronic diseases worldwide. Leveraged clustering and regression to build a scalable dashboard that empowered healthcare investors and policymakers with visual narratives.
Designed a secure, decentralized medical record system using Python Flask, P2P socket networking, and RBAC controls. Focused on privacy-preserving data sharing of fingerprint authentication—Top 10 National Hackathon Winner.
Developed a DNS-like system integrated with Fibonacci microservice architecture. Built using RESTful Flask APIs, layered registration between FS and AS, and query handling with real-time IP redirection logic.
Created a cancer survivorship prediction model by cleaning, encoding, and scaling medical datasets. Compared Random Forest, Decision Tree, Naive Bayes, and Gradient Boosting classifiers to identify top-performing models using GridSearchCV and classification metrics.