I'm a Data Scientist at a Network International in Dubai, U.A.E., passionate about using data to solve real-world problems. I recently graduated from the University of Waterloo where I majored in Data Science and minored in Economics.
I love seeing how data is applied in the real world across different industries and have made it a point to explore companies in various sectors—from transit at RideCo, to e-commerce at Babylist, and now in the fintech space at Network International. This diverse experience has given me a unique perspective on how data-driven solutions can transform businesses across different domains.
🔬 CI
💾 Databases
📚 Frameworks, Platforms and Libraries
☁️ Hosting/SaaS
📋 Languages
🖥️ ML/DL
🥅 Other
🗄️ Servers
Multi-Modal Classifier: A deep learning model that classifies fashion items into 27 categories using noisy text descriptions, images, and categorical variables. Demonstrates advanced feature fusion techniques.
Housing Price Prediction: End-to-end regression analysis using Linear Models, Splines, and Random Forest to predict housing prices with comprehensive EDA in R.
NLP with Disaster Tweets: Binary classification system to identify real disaster tweets using NLP techniques and deep learning.
WhatsApp Chat Analysis: Text analytics tool to extract insights and patterns from WhatsApp conversations.
I'm always interested in collaborating on data science projects, discussing ML techniques, or exploring new opportunities!