/* I work across machine learning, GIS, and document intelligence, turning messy data into structured, useful outputs through Python, spatial analysis, and applied AI. */
🟢 Open to work
Currently an Extern @TruBridgePortfolio items focus on AI approaches to extract data from documents, improve parsing accuracy, and produce structured outputs from unstructured sources.
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✅ Verified by Extern
A TruBridge externship in healthcare data analytics, focused on exploring public health datasets, building dashboards, and applying statistical and trend-analysis techniques to real-world infection and outcomes data.
I work across machine learning, GIS, and document intelligence, turning messy data into structured, useful outputs through Python, spatial analysis, and applied AI.
I’m a Computing and GIS student and University of Toronto Geography graduate building skills across software, geospatial technology, machine learning, and data. My experience includes Python, spatial analysis, data analytics, and applied AI, with a growing focus on software engineering and building practical, data-driven solutions.
Externships
TruBridge Healthcare Data Analytics Externship
TruBridge
Experience
Machine Learning Engineer Intern
FlyRank AI · Aug 2026
Pfizer — Advanced AI-Powered Document Insights & Data Extraction Extern
EXTERN · Aug 2026
Safe Staffing Agency
Safe Staffing Agency · Oct 2025 - Jun 2026
Data Analyst Intern
Ada Analytics · Jan 2022 - Apr 2022
Research Assistant
Antarctic Institute of Canada · Jan 2022 - Apr 2022
Education
Thompson Rivers University (TRU)
Bachelor of Computing Science (BCS) · Class of 2029
Centre of Geographic Sciences (COGS)
Graduate Certificate in Geographic Information Systems (GIS) · Class of 2027
University of Toronto
Honours Bachelor of Arts · Class of 2026
Skills
✅ Verified by Extern · ⏱️ In progress
A TruBridge externship in healthcare data analytics, focused on exploring public health datasets, building dashboards, and applying statistical and trend-analysis techniques to real-world infection and outcomes data.
The work examined large public healthcare datasets to identify patterns in infections and patient outcomes. Tasks included framing appropriate statistical approaches, preparing data for analysis, and building interactive visualizations. Deliverables combined trend analysis with exploratory dashboards and documented analytical decisions.
I translated healthcare datasets into analyzed findings and interactive visuals. Below are the discrete pieces of work I completed during the externship, from defining analytical scope to producing dashboards and documented results.
