At Greenscreens.ai, I owned and evolved freight spot-rate prediction systems, building their path from analytical data and feature pipelines through validation, deployment, and monitoring. I also established a company-wide experimentation protocol and architected an observability framework that helped detect model degradation and target drift sooner.
Previously at Teleperformance, I built forecasting and other predictive models, established experimentation practices, and led a team delivering ML projects from scoping to production. As a Senior Data Analyst / Analytics Engineer, I built Python ETL pipelines, an MS SQL Server data warehouse, and a Power BI dashboard environment that reduced reporting turnaround from hours to minutes.
