📍 Waterloo, ON
🎓 Honours Mathematics (Co-op) @ University of Waterloo

LinkedIn · Portfolio

I'm a Mathematics student at the University of Waterloo with a strong interest in quantitative research, data science, and machine learning applied to real-world decision making.

I enjoy working at the intersection of:

• Probability & statistics
• Time-series analysis
• Simulation & empirical research
• Interpretable machine learning

I focus on building systems that answer real questions, not just models that look good on paper.

Student Machine Learning Researcher — Wat.AI
Jan 2026 – Present

• Conducting early-stage research on LLM-free sentiment analysis of financial news
• Integrating FinBERT-derived sentiment signals with market metrics (returns, volatility)
• Designing interpretable research pipelines using NumPy, pandas, SciPy
• Evaluating sentiment-based factors for empirical robustness and signal quality

Python, NumPy, pandas

• Built a domain-specific query language to express stochastic simulation intent over financial time series
• Ran 10,000+ Monte Carlo simulations per query using bootstrap sampling
• Detected p-hacked strategies with 68% accuracy, preventing ~$2,000 in paper-trading losses
• Ranked technical indicators using correlation and (R^2) for signal selection

Python, scikit-learn, SQLite

• Modeled listener engagement using Hidden Markov Models
• Identified skip-prone segments accounting for 21.3% of track duration
• Built probabilistic state inference using Multinomial Logistic Regression
• Designed a normalized relational database for per-second engagement analytics

Python, XGBoost, FastAPI, React

• Processed 5,000+ rows of NBA performance data
• Built ML pipelines with XGBoost (performance prediction) and KNN (player similarity)
• Improved lineup decisions by 30% over rolling windows
• Deployed a FastAPI backend with a React/TypeScript frontend

Languages
Python · R · SQL · C/C++ · MATLAB · VBA

Data & ML
pandas · NumPy · scikit-learn · SciPy · XGBoost · TensorFlow · matplotlib

Frameworks & Databases
FastAPI · React · Next.js · PostgreSQL · SQLite · SQLAlchemy

Tools
Git · GitHub · Linux · VS Code · Tableau · Power BI · Excel

• Robotics Software Lead (Skills Canada)
  Led C++ development for an autonomous robot achieving 85% run success
• Bloomberg Market Concepts
  Analyzed macroeconomic indicators, bond valuation, and central bank policy
• Deep Learning with TensorFlow
  Studied CNNs and RNNs to inform model selection for production systems

• Quantitative research & trading systems
• Time-series modeling
• Simulation & Monte Carlo methods
• Interpretable machine learning
• Turning theory into working tools

Open to: Quant Research, Data Science, ML, and FinTech co-op opportunities