RBS Venkat

I am a data science and analytics professional with hands-on experience building machine learning, transformer-based NLP models, deep learning architectures, and computer-vision solutions. I have delivered high-accuracy predictive systems—such as an AQI forecasting pipeline (R²=0.9768) and a humidity classifier (90.5% accuracy)—and implemented generative and embedding-based solutions for product ingredient analysis.

I work primarily in Python and SQL and leverage PyTorch, TensorFlow, OpenCV, and scikit-learn to productionize models via Flask and relational databases (PostgreSQL/MySQL). I combine strong analytical thinking and collaboration skills with certifications in Oracle APEX, AI Vector Search, and Fusion Cloud Applications to drive practical, scalable AI solutions.