I apply analytics, AI, and cloud-enabled data science to real-world business and financial problems. With a foundation in cognitive science, I bring a structured, human-aware approach to data — delivering clear, actionable insight that drives measurable outcomes.
A data scientist working at the intersection of analytics, machine learning, and applied AI — currently building agentic systems in financial services at Scotiabank.
My background in cognitive science shapes how I read data: structured, human-aware, and always anchored to the decision it's meant to support. I'm especially interested in the integration of behavioral economics within cognitive science.
A full-stack customer-support AI agent built on a ReAct / LangChain architecture — pairing a hosted LLM with remote embeddings, a ChromaDB knowledge base, SQLite order tracking, and a 10-tool action suite for live order resolution.
Predicts firm-level ESG performance by combining scraped sustainability-report PDFs with financial data — fusing NLP (TF-IDF, BERT) and machine- and deep-learning models to deliver interpretable ESG forecasts.
An AI-powered Airbnb-style discovery app that combines structured property data with natural-language user preferences to surface better-fit stays and generate explainable recommendations.
Built an end-to-end employee attrition analysis using hypothesis testing, feature selection, outlier detection, and tree-based models to identify retention drivers and translate workforce patterns into actionable HR insights.
A Java-based data insights application enabling interactive exploration of movie trends across ratings, genres, and box office performance.
A financial and on-court analysis of the Milwaukee Bucks in R — building regression models to identify the drivers of revenue and win percentage, with models explaining over 90% of observed variability.
Away from the terminal, I'm happiest when there's a scoreline involved — whether I'm watching it, playing it, training for it, or trying to model it.
Blaugrana through and through. I grew up on the idea that how you win matters as much as winning — patient build-up, players raised through La Masia, and football played like it's meant to be watched. Clásico nights run my calendar, and a good Barça performance can carry a whole week. It's also where my love of sport started turning into a love of the numbers behind it.
I don't just watch — I play. I competed in Division 1 intramural soccer and volleyball at the University of Toronto, where the same instincts that make a good team carry straight into how I work with one.
Off-season, the gym keeps me honest. I train for HYROX-style functional fitness — the blend of endurance and strength that rewards consistency, structure, and showing up. Same discipline, different arena.
This is where the two halves meet. I obsess over Fantasy Premier League, run my own NBA performance models, and optimize March Madness brackets — turning a lifelong fandom into the kind of analytics work I do for a living.