Developed and executed an inventory strategy using segmentation and trend analysis to define success metrics and lead a team of three to exceed placement goals and revenue targets. Performed data mining, cleaning, and wrangling to unify unstructured data from multiple sources and create a single view for insights. Conducted weekly inventory analyses to optimize strategies, driving significant revenue growth. Evaluated new tech stacks and collaborated with vendors to refine platform selections, delivering data-driven decisions that reduced costs and improved inventory purchases.

Lead Data Scientist, MarTech at Kaizen Analytics

March 1, 2025 - Present

Led data engineering to develop a scalable data pipeline architecture for predictive modeling (churn, LTV, propensity) and translate business needs into technical solutions. Created reusable feature datasets using unsupervised learning (clustering, topic modeling) to generate audience segments for A/B and multivariate testing across marketing tactics. Built production-ready Snowflake views for gold-layer tables, ensured data model accuracy and documentation, deployment stability, and scalable data models enabling efficient queries.

Analyst, CPE Marketing at The New School

July 1, 2021 - March 1, 2022

Developed and maintained marketing analytics infrastructure to support audience segmentation and campaign measurement, enabling rapid activation across channels. Built dashboards and reports to monitor performance and inform marketing decisions.

Manager, Ad Production Analytics at Flow Sports

July 1, 2018 - December 1, 2021

Utilized SQL to manipulate extensive datasets to produce cross-channel and prospect/customer analytics, improving overall campaign targeting. Implemented Google Analytics tagging and integrated business platforms to establish a comprehensive activation tracking pipeline across website, social, email, and CRM channels. Regularly delivered analytics reports on organic, paid, and competitive landscapes across various time frames.