About Me
Data Scientist
I’m a Data Scientist with an H.B.Sc. in Applied Statistics and minors in Computer Science & Mathematics from the University of Toronto Mississauga. I specialize in statistical modeling, machine learning, and data visualization, and have applied these skills in academic research, teaching, and real-world projects.
Graduated with an H.B.Sc. in Applied Statistics, with minors in Computer Science & Mathematics, from the University of Toronto Mississauga. Recipient of the Lester B. Pearson International Scholarship (Full-Ride) and a Dean’s List Scholar.
Featured Projects
A selection of my recent work in data science and machine learning
foliyo – Customer Management System
A single-page React + TypeScript app (built with Vite) for admins to manage customer records. Features include secure login/registration, persistent sessions, search/filtering, avatar generation, and full CRUD operations on a remote API.
Heterogeneous Ensemble Forecasting for Disease Prediction
Developed machine learning models to predict the spread of diseases using ensemble-based forecasting techniques. Published in a peer-reviewed journal.
ARIMA Modelling for Time Series Forecasting
Researched efficient techniques to forecast time series data using the ARIMA Modelling Techniques. This project focused on improving forecasting accuracy.