I was the Insights Lead for 2022 Wrapped, managing a team of Data Scientists and User Researchers.

Owned multiple experiments in partnership with engineering to validate the hypothesis that Spotify web visitors are better served if shown the web player instead of the existing homepage. This change added 2 million Monthly Active Users.

Uber disburses payments to millions of partners (drivers and eats merchant restaurants) every week in more than 60 countries. I built a decision engine to identify payments that are anomalous and worked with the engineers to implement a fully functioning tool that stops anomalous payment going out automatically.

Without a proper A/B testing setup available due to retail industry operational complexities, proving the financial impact of using Rubikloud's Promotion Manager product was challenging. I designed, formulated, implemented and educated the analytics and sales teams the methodology behind estimating the financial impact. The code base is used to drive demo, pilot and subscription renewal agreements.

Developed Rubikloud's standardized campaign measurement module that was deployed across all clients for Customer Lifecycle Manager product

Led a team of 13 in Aimia's 2018 Data Philanthropy event. Built a data cleaning and segmentation tool using R, and lead other 5 objective streams to deliver a full suite of operational improvement solutions to Rainbow Railroad, a Canadian charitable organization.

Measured the variance of speeds from transit data to map the unreliability of Toronto's road network. This insight would allow commuters to make more informed route choices, and city planners plan events/constructions accordingly. The team won prize money of $5000.

I was the winner of the 2015 Faculty of Mathematics Three Minute Thesis (3MT) heat. In 3MT you are given 3 minutes to explain your thesis to a general audience.

For my master's thesis work at the University of Waterloo, I worked on the optimal sensor location problem in the Infinite Dimensional Systems research group. My work specifically focused on finding the optimal discretization technique to solve the Navier -Stoke’s equations. I presented this work at the American Control Conference in 2015.