AI/ML Analyst

I worked on models and tools that had to hold up in everyday operations, not just in a demo. That included anomaly detection over more than 10 million records a day, with 92% precision and 30% less false-positive review work. I designed A/B tests against production baselines, analyzed lift and segment results, and checked retrained models in shadow mode before promotion. I also piloted a document-search tool with claim reviewers against manual search; average policy lookup time fell 40%, and claim resolution became 20% faster.