• Collaborating with CTO and multiple SVPs to determine efficacy of registration on Pluto TV by implementing econometrics
and data architecture solutions into an optimization engine. Impacts ~20% of future annual revenue to the company
• Redefining app release schedule and tech stack autoscaling by using non-linear regressions and Monte Carlo simulations
in Python to simulate the likelihood of a faulty app release or a fatal crash in lieu of seasonality
• Driving 2% of incremental revenue by leading team of 5 data scientists to implement and maintain hourly outlier detection
across front and back-end metrics such as impressions, crash log errors, etc.