About me
I recently completed a Master of Data Science (MDS) from the University of British Columbia (UBC), building on my undergraduate background in Economics and Statistics.
Prior to MDS, I spent 3.5 years with Deloitte Vancouver’s Transfer Pricing practice where I developed and defended pricing strategies for multinational companies’ cross-border transactions. I found myself increasingly drawn to solving real-world problems through quantitative methods while working with complex financial and operational data, which led me to pursue further training in data science.
I enjoy working collaboratively to understand business needs and apply statistical / machine learning techniques to drive better decision-making and business outcomes. Some of my recent work include building a business intelligence tool for a Vancouver-based dessert cafe to support daily operations planning, and co-developing a machine learning pipeline for UBC Cybersecurity to reduce response time to malicious email threats. You can learn more about my data projects here.
In my spare time, I enjoy playing soccer, pouring latte art, and snowboarding at local mountains.
Education
- Master of Data Science | UBC, 2025
- BA Combined Major in Economics and Statistics | UBC, 2020
Technical Skills
- Languages: Python (pandas, NumPy), SQL, R (tidyverse)
- Data analysis: Statistical testing (A/B testing, hypothesis testing, power analysis, Bayesian inference, non-parametric tests), time series
- Data Visualization: Tableau, Power BI, Streamlit, plotly, matplotlib, altair, ggplot2
- Machine Learning: Linear Regression, Generalized Linear Models (GLMs), ensemble methods, clustering methods
- DevOps & Cloud Tools: Git, Make, Docker, Azure DataBricks, AWS (S3, EC2)