Data & ML.
I study Statistics and Computing at the University of Waterloo, with an interest in Data Science, Data Engineering and Machine Learning. Other than that, I enjoy basketball, music and history. Check out my projects to learn more.
Working on the data platform and AI teams to help build and optimize data pipelines for financial data.
Developed an AI classification system demo for the LA County to help route permits more efficiently, landing a long-term implementation contract.
Gathered insights and analyzed trends on PC Optimum campaigns. Developed autoamtion bots to help automate PC app-offer creation, cloning and quality assurance. Built SQL pipelines and customer lifecycles to drive incremental sales, as well as dealing with over 1 billion data points for inference and training.
Developed and debugged Assembly's financial-data integration between Autodesk and Sage. Built all PowerBI KPI dashboards from scratch for every department. Launched forecast models using Excel and PowerBI for seven construction projects with data pipelining.
Built, trained and optimized object detection models for autonomous drones. Helped develop object-avoidance modules for improved flight pathing and overall accuracy.
Relevant Courses: Designing Functional Programs, Elementary Algorithm Design, Tools and Techniques for Software Development, Data Types and Structures, Macroeconomics, Algorithmic Problem Solving