I hold an Honours BSc in Computer Science (Data Analytics) with a minor in Economics from Trent University — a blend of technical depth and quantitative business reasoning.
My hands-on experience spans geospatial analytics, NLP research, cybersecurity data handling, and full-stack data workflows across industries including environmental science, finance, and technology. I turn complex datasets into decisions that move organizations forward.
Proficient in Python, SQL, machine learning, ETL pipelines, data visualization, and cloud platforms (GCP). I thrive where analytical precision drives real outcomes — in banking, finance, energy, aviation, transport, and beyond.
Machine learning project implementing a parallelized neural network from scratch to classify sign language images with optimized training performance.
Geospatial analytics project utilizing satellite imagery and environmental datasets to monitor climate indicators and identify sustainability insights.
Healthcare analytics project applying statistical analysis and visualization techniques to uncover key drivers of insurance costs.
Database engineering project focused on designing a normalized relational system for large-scale job matching and outreach management.
Collaborative web application developed using Agile methodologies to streamline appointment scheduling and user management workflows.
Node.js (Codecademy · 2024)
IT Support Professional Certificate (Google · 2023)
Introduction to SQL (DataCamp · 2021)
C# (Microsoft · 2021)
Introduction to Python (DataCamp · 2021)
MOS PowerPoint (Microsoft · 2016)
MOS Word (Microsoft · 2016)
MOS Excel (Microsoft · 2016)
Canadian Investment Funds Course (IFIC · 2022)
Strike up a conversation — I'm open to opportunities, collaborations, and interesting problems.