About Me
Data Science student at the University of Waterloo with an interest for machine learning, web development, and solving complex problems.
Honours Data Science, BMath
University of Waterloo
Sep. 2024 - May 2029 (Expected)
Relevant Coursework
Activities
- Data Science Club
- Applied Math, C&O Club
- Various Hackathons + Datathons
Experience
AI Engineer
IncomingPractice Better
- >Incoming AI Engineer role focused on developing and implementing AI solutions
Data Analyst, Supply Chain
Celestica
- >Engineered a OCR pipeline to extract key product specifications, including case size, resistance, and maximum voltage, from technical drawings, reducing manual data entry
- >Designed and implemented advanced data visualizations in PowerBI for supply chain process owners, cutting preparation and presentation time by 40%
- >Leveraged APIFY to scrape part data into JSON, then performed ETL with Python and Pandas. Increased the proportion of benchmarked parts by 18% and total dollar value by 22%
Machine Learning Research Assistant
Fluid Flow Physics Group
- >Employed various regression models to predict vocal fold outputs
- >Applied transfer learning to predict on scarce finite element data
- >Authored Python scripts to transform vector data from VTU-formatted files into Pandas data frames then export as CSV for further analysis
Memory Archive
Recovered data fragments from previous constructs. Each memory represents a unique solution to complex problems.
SleepyPlays
Automated YouTube Shorts content creation system using AI for story generation, voice synthesis, and scheduled video publishing
MealMinder
Smart meal planning and grocery management application with AI-powered meal plan generation
IMDB Sentiment Classifier
Transformer-based sentiment analysis model for movie review classification using DistilBERT
Deep Image Classifier
Deep learning image classification using PyTorch with transfer learning on CIFAR-10
