* Deployed price-based ranking strategy, generating $12MM annual incremental revenue

* Developed online optimization algorithm for maximizing session-level revenue

* Designed an exploration approach to solve cold start problem for new products

* Led search engine improvement projects (Elasticsearch/Opensearch), increasing site-wide conversion rate by 1%

* Mentored Data Scientists and ML Engineers, promoting best practices

* Collaborated cross-functionally to align ML initiatives with company goals

* Expanded the recommendations model that I developed for Browse pages to cover Deals pages and Brands pages.

* Deployed an internal app for converting lists of product identifiers into browsable pages. The app won our team’s annual hackathon.

* Designed and implemented Chewy’s product recommendation algorithm for Browse pages using Pytorch (estimated impact: $50MM incremental revenue).

* Developed Chewy’s “Frequently Bought Together” model in R.

* Produced a widely-used internal tool for diversifying product recommendations with Python

* Developed an interactive tool allowing stakeholders to visualize prototype product recommendations without requiring a deployment (R/Shiny)

* Mentored other Data scientists.

Designed a Bayesian model that predicted ALS symptom progression