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 Financial — Data Scientist Intern

Built governed analytics and AI solutions for Risk, Treasury, and Finance stakeholders, including LLM-driven workflows and transformed fraud datasets for downstream modeling.

PySpark, LLMs, Machine Learning, Data Preparation

Wilfrid Laurier University — Machine Learning Research Assistant

Cleaned and standardized UVABench scenario data, prepared features and labels for core safety tasks, and analyzed benchmark outputs to support model evaluation workflows.

Machine Learning, Benchmarking, Python, Research

John Hancock — Data Engineer Intern

Built and optimized Databricks pipelines with PySpark and SQL, automated ML and LLM ingestion workflows, and improved monitoring for data quality and pipeline execution.

PySpark, SQL, Databricks, Data Pipelines

RBC — Data Analyst Intern

Validated daily mortgage disbursement data exceeding $2.5M with high accuracy and built Power BI dashboards and Excel trackers that reduced escalation time across operations.

Power BI, Excel, Data Validation, Reporting

Wilfrid Laurier University — Teaching Assistant

Guided 200+ students in Data Analytics and Calculus by explaining concepts clearly and helping debug Python and R code in labs and coursework.

Python, R, Statistics, Teaching