Data Scientist with 9+ years’ expertise architecting and scaling data‑intensive applications across finance, healthcare, and e‑commerce. Proficient in Python, SQL, Spark, TensorFlow, and PyTorch, I build and optimize end‑to‑end ML pipelines on AWS, Azure, and GCP. Skilled in predictive modeling, feature engineering, and advanced data mining algorithms, I’ve delivered projects that drove 30% improvements in forecasting accuracy and reduced processing times by 50%. Adept at containerization (Docker, Kubernetes), MLOps (CI/CD, model monitoring), and Agile collaboration, I translate complex business requirements into robust, production‑ready services, mentor cross‑functional teams, and ensure scalable, maintainable solutions.