Drove product decisions by designing and analyzing A/B tests for new seller features, translating statistical insights into actionable recommendations that led to a significant increase in seller engagement.
Developed and maintained product analytics dashboards that enabled data-driven decision-making by providing real-time insights into key seller metrics, and behavioral trends.
Data Scientist
When I Work
10.2022 - 11.2024
Designed and analyzed A/B tests for new features and optimized pricing, increasing conversion rates and driving revenue growth.
Developed a lead scoring model based on free-trial customer behavior, improving sales efficiency by 15%.
Built a predictive ML model for customer churn, reducing churn by 10% through proactive Customer Success interventions.
Business Intelligence Partner
Randstad Sourceright
06.2021 - 06.2022
Collaborated with clients and internal stakeholders to deliver impactful business insights by building production-quality dashboards that tracked essential KPIs, which optimized hiring operations and drove operational efficiency.
Forward Deployed Engineer
ActionIQ
04.2019 - 07.2020
Built production data pipelines for enterprise clients (Gap, Verizon, Neiman Marcus) integrating profile, transaction, clickstream, and retail data, and designed SQL transformations that powered 360° customer profiles and personalized marketing campaigns.
Data Scientist
pymetrics (now Harver)
New York, NY
11.2017 - 03.2019
Built and deployed ML models on behavioral assessment data, resulting in increased successful hires, improved diversity, and reduced time to hire for a range of clients across different industries, including Unilever, JP Morgan, and Boston Consulting Group.
Contributed to the development of an open-source package called Audit AI for detecting bias in ML models, promoting fairness in hiring practices, industrywide.
Data Scientist (Contract)
Abodewell
07.2017 - 11.2017
Developed ML models for housing price predictions in Greater Austin area, enabling instant buying/selling decisions