I am a Data Science student at Wilfrid Laurier University. I enjoy working with data and math, especially when they help explain patterns and real world behavior. My projects focus on extracting meaningful insights from messy data through machine learning and analytics, where evaluation metrics and decision thresholds matter more than raw accuracy. I enjoy building clean, readable code, automation that saves time, and simple dashboards and workflows in Python and R that make results easy to understand.

Experience

Manulife — Data Analyst Intern

Processed large-scale financial datasets, built reporting workflows in Databricks, and supported risk analysis with practical evaluation and metrics.

PySpark, SQL, Databricks, Python

Wilfrid Laurier University — Teaching Assistant

Helped students debug code, explained statistical concepts, and translated theory into working implementations for coursework and labs.

Python, Statistics, Teaching

RBC — Operations Officer Intern

Processed high-volume transactions, improved reconciliation workflows, and built Excel tools to improve data quality and tracking.

Excel, Data Validation, Operations