I’m a Master of Data Science student with a knack for numbers and a passion for turning data into actionable insights. With a First Class Honours degree in Finance and CFA Level 1 certification, I’ve always been drawn to the intersection of finance and technology. My journey has taken me from analyzing financial operations at TD Bank—where I streamlined processes and tackled data challenges—to leading a hackathon-winning project that used machine learning to provide real-time recommendations from API-driven data.

These experiences have fueled my ambition to become a quantitative analyst, blending my love for problem-solving, statistical modeling, and machine learning. I’m always excited to learn, collaborate, and explore new ways to use data science to make smarter, data-driven decisions. Let’s connect and build something amazing! 🚀

• Programming Languages:

• Data Science Tools:

• Databases & Cloud Tools

• Key Expertise: Quantitative Research, Portfolio Management, Financial Analysis, Backtesting, Risk Management, Bloomberg Terminal

• Core Strengths: Problem Solving, Self-Motivation, Teamwork, Strategic Thinking, Analytical Thinking, Project Management

University of British Columbia | Vancouver, BC
Sep 2024 – Jun 2025

• Relevant Courses: Machine Learning, Statistical Inference, Programming & Software Development
• Key Topics: Parametric/Non-parametric modeling, optimization, data cleaning, hypothesis testing

University of New Brunswick | Fredericton, NB
Sep 2020 – May 2023

• Minor: Economics | GPA: 4.1/4.3
• Relevant Courses: Investment, Corporate Finance, Derivatives, Statistics, Economics
• Projects: Managed $500,000 portfolio for UNB Endowment Fund; conducted stock analysis with Bloomberg Terminal

TD Bank | Dieppe, NB
Apr 2022 – Aug 2024

• Collected, cleansed, and validated financial data for reporting and reconciliations.
• Conducted quantitative analyses on financial statements, including MD&A and capital reporting.
• Implemented process improvements and developed new controls to optimize operations.
• Collaborated with cross-functional teams to meet performance goals and stakeholder requirements.

Student Investment Fund | Fredericton, NB
Apr 2021 – Apr 2022

• Managed $500,000 portfolio; performed equity analysis and prepared detailed reports.
• Represented UNB in the CFA Research Challenge and CQA Challenge, achieving finalist status.

Jane Street Real-Time Market Data Forecasting Competition
Oct 2024 – Jan 2025

• Built probabilistic forecasting models using tree-based algorithms (XGBoost, LightGBM, CatBoost).
• Developed a multi-period model for predicting market trends with real-world, production-grade data.

Heart Disease Diagnostic Machine
Dec 2024

• Built a machine learning model to predict angiographic coronary disease in patients.
• Constructed a Docker container for the project, ensuring reproducibility and ease of deployment.

Hackathon Winner – Learning Analytics Hackathon
Oct 2024

• Developed a machine learning-powered tool for Canvas API to analyze group chat data and generate real-time recommendations.
• Gained hands-on experience in data wrangling, API integration, and recommendation systems.

• CFA Level 1 | Passed May 2023