- Led team of Software Engineers and Data Scientists in creating machine learning models that power recommendations on the homepage of Indeed
- Increased volume of Apply Starts generated by my team’s ML models by over 70% while also increasing the relevance of matches, as measured by Apply Starts/Seen, by ~25% over the previous 6 months through A/B testing new iterations of models and launching 2 new ones
- Defined quarterly strategy, OKRs and ensured that all initiatives aligned with leadership goals
- Presented progress towards OKRs and new experiments in weekly cross functional syncs with leadership from multiple departments
- Drove initiative to internationalize existing models by conducting A/B tests in countries outside of the US to determine their viability
- Stood up an additional new team to reduce the number of bad matches and increase the relevance of recommendations - including initial OKRs, roadmap and strategy"