Mrudula Deshmukh

Healthcare-focused data scientist: describes building production ML systems and analytics for healthcare settings, applying deep learning and ETL to patient records and clinical workflows to support clinicians and cost-savings efforts. github+1

Big-data and ML engineering: author of projects that demonstrate distributed data processing (PySpark + Hadoop), scalable ML pipelines, and reproducible deployments (Docker, Spark jobs, notebooks) for transport and public-health forecasting use cases. github+1

Research and applied ML experience: combines academic research assistance at University at Buffalo with peer-reviewed/co-authored technical writing and participation in hackathons and Devpost projects, indicating both experimental and product-oriented work. ijrar+1

Engineering foundation from electronics and telecom: undergraduate training in electronics & telecommunication informs a systems-thinking approach to data engineering and ML model-building. aissmsioit+1