At Appfigures, I developed machine learning models to estimate App Store downloads and revenue for competitive intelligence, and built LLM-powered pipelines that turn customer reviews into actionable product insights.
Previously, I built Scala and Spark models at Ascendion for Charter Communications to detect password sharing from large-scale WiFi activity data. I also analyzed streaming usage data from more than 10,000 users using Python and SQL to refine targeted marketing campaigns.
At The Bee Corp, I led VeriFLI from concept to production in under nine months and developed TensorFlow image-segmentation models that achieved 90% accuracy assessing hive health. My background also includes consulting, Tableau reporting, customer discovery, and seismic-data signal processing, where I improved productivity by 30% through workflow optimization.
