Here are a few highlights from my recent work.
Built a predictive model using Python and SQL that helped identify high-risk customers. Improved accuracy and cut false positives using feature engineering and better data pipelines.
Designed and deployed a scalable pipeline using PySpark and Azure. Improved data latency and supported downstream analytics teams.
Developed an NLP model using TensorFlow to extract insights from medical reports. Helped research teams speed up analysis and reduce manual review.
Created dashboards that brought complex statistical results to life. Supported leadership teams in making data-driven decisions.