Portfolio

Projects

Hands-on work spanning machine learning, NLP, computer vision, and data engineering.

Data Engineering ML

Financial Data Analysis using MongoDB & Pandas

End-to-end financial data pipeline: querying financial data stored in MongoDB, exploratory data analysis, and visualization with Seaborn and Matplotlib.

Pandas MongoDB EDA Seaborn
Deep Learning NLP

Multimodal Depression Analysis

Real-time system recognizing depression by extracting features from facial expressions, EEG signals, and speech modules using multimodal deep learning.

NLP Feature Engineering Signal Processing PyTorch
Time Series Econometrics

Stock Index & GDP Forecasting

ARIMA model built with MATLAB's Econometrics Toolbox to forecast GDP and Stock Indexes of 10 countries with Python-based validation.

Python Matlab ARIMA Time Series
Recommendation System

Business Location Recommendation System

Data analysis and visualization to find suitable business locations using Wikipedia data for Toronto, leveraging Folium mapping and web scraping.

Data Analysis Web Scraping Folium Clustering
Computer Vision

Object Detection & Localization

Implemented YOLOv3 trained on the COCO dataset for real-time object detection and localization on road scenes.

TensorFlow PyTorch OpenCV CUDA YOLOv3
Web App Database

Medical Dashboard

Modern audit trail system for doctors providing an overview of medical history, prescriptions, and lab reports using MySQL and JavaScript.

MySQL JavaScript Java Database Design
Full-Stack Web

Trouvaille Campground Website

Full-stack web application with user-friendly interface for seamless booking and exploration of camping destinations.

MongoDB Node.js Express.js JavaScript