Modeled in-dealership car configurator usage with online browsing for purchase intent

Developed data-driven consumer journeys for Russian market Mobil 1 buyers

Developed search data tools in the Brazilian market to identify rapidly-changing consumer consumption habits

Developed predictive algorithms of car sale likelihood based on configurator use and ad impressions

Used census data, open street map & consumer data to find and model usage of new high net worth branch locations

Modeled global oil tanker paths and most likely port of call empowering trading & arbitrage

Designed and built a data ingestion engine for national music and arts in-school data, built a data lake and automated reporting

Developed recursive social network analysis to find and talk to key B2B CIO buyers

Developed ML process identifying consumer carrier switching intent & reengage them as advocates

Built a novel COVID-19 traveler fear data set and developed ML process identifying best “bang for the buck” in-airport COVID-19 remediation measures

Built open-source CPG insight tool identifying new consumer product use patterns and novel product use cases

Worked on ‘Store of the Future’ initiative spatial modeling store traffic and high-value product placement opportunities with consumer traffic patterns

Deployed COVID-19 traveler fear ML process (same as DFW) and expanded insight generation to address traveler airport return protocols like: parking, dining and waiting for flights