At Nabors Industries, I developed a Python-based machine learning automation platform using TensorFlow and connected it to Power BI dashboards for safety risk analytics, reaching 92% prediction accuracy.
I also automated ingestion and preprocessing for daily safety reports, reducing manual processing by 80%. I improved pipeline performance with Redis caching and XML parsers, bringing latency from 8 seconds to under 2 seconds.
In my projects, I designed a collaborative filtering movie recommendation engine with Apache Spark and built a smart document processing application using NLP and RAG. I’m focused on applying data science and AI to real-world business problems.
