Projects
A collection of my research work, data science projects and professional contributions
Featured Projects
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
A research project focusing on machine learning models to predict the spread of diseases using ensemble-based forecasting techniques. This work combined multiple forecasting algorithms to improve prediction accuracy of disease outbreaks.
ARIMA Modelling for Time Series Forecasting
Research on efficient techniques to forecast time series data using ARIMA Modelling Techniques. The project focused on improving forecasting accuracy for various types of time-dependent data.
Health TrueInfo: A Multilingual Android App & Social Media Approach
Implemented a multilingual Android app and leveraged social media to combat COVID-19 vaccine misinformation and hesitancy across Bolivia, India, and Canada. Collaborated with community influencers to create culturally relevant content.
Tax Form Classification System
Developed a machine learning classification model at ADP Canada to identify tax form types, managing a real-time dataset of 800,000+ entries. The system automates the identification and processing of various tax documents.
Time Series Forecasting Techniques for Internet of Things: A Survey (Book Chapter)
A comprehensive survey chapter on Time Series Forecasting techniques for Internet of Things (IoT) applications, covering enabling technologies, protocols, and implementation challenges.
Other Projects
3D Printing Market Analysis
Market analysis project at Ernst and Young focusing on the Asia Pacific 3D Printing market. Utilized statistical modeling and market assessments to evaluate market feasibility for the I.I.T. Delhi Incubation Center.
Dengue and Tuberculosis Prediction System
Led research on predicting Dengue and Tuberculosis outbreaks using ensemble-based forecasting techniques. This project contributed to public health planning by enabling proactive measures against potential disease outbreaks.