Victor Huang

PAST I got my undergraduate degree from the University of Pittsburgh. And I pursued my dream at UCLA's graduate program before I realized I am more interested in the data science field. Then, I got a master degree at UCLA Anderson School of Business. Besides business-driven courses, I took convex optimization, a bunch of math, and statistics classes. Then, I moved to Toronto to join Ritual, a food pick-up platform company, as a data scientist. 1. I worked independently to set up a one-stop statistical engine for campaign analysis. The engine connects with the production database by an ETL pipeline and exposes calculated results to internal users via a friendly UI, which reduces analysis time from 2 hours to a few minutes. 2. I worked with marketing teams to prepare marketing campaigns, analyzing data and conducting rigorous causal analysis. 3. I worked with product teams on product launch and research. I conducted multiple experiments via a frequentist approach and Bayesian hypothesis testing. 4. I worked with the business teams to provide fast data analysis support via Spark and Python. 5. I mentored junior team members. We worked collaboratively on projects like customer lifetime value estimation, recommendation systms, business unit classifier, etc. NOW I am a Sr. Data Scientist at Canadian Tire's marketing team. I am productionizing deep learning techniques to help the company to get more clarity about our products. I combined techniques like graph-based embedding, computer vision, and natural language processing to calculate product similarities in our system. Additionally, I am working on an experimental platform at Canadian Tire. I applied both traditional A/B/N experimental design and execution techniques and multi-armed bandit techniques to increase experiments' efficiency. CODING I love statistical and mathematical programming. I have more than 5 years'