An accomplished Data Scientist with 7+ years of experience building AI ML- driven solutions using Python and PySpark Frameworks in Azure and AWS platforms for executing distributed machine learning and cloud-based data pipelines for numerous businesses as well as scientific problems at scale. Excels at mining, cleaning, exploring, and modeling. Highly experienced at data exploration, data insight extraction, feature engineering, creating high-performing AI/ML models, and translating complex results into business recommendations. Led/participated in 10+ advanced data science projects comprising Generative AI, API, NLP, predictive modeling, regression, recommendation, time series forecasting, classification, fraud modeling, and root cause analysis creating end-to-end ML solutions from ETL till deployment with CI/CD, and monitoring partnering closely with product and engineering teams. In addition, I have contributed 15+ peer-reviewed high-impact scientific journal articles, 10+ oral talks at international/national conferences as well as numerous Journal covers and Book Chapters during my doctoral and post-doctoral research period as a physicist and material scientist.
Listed skills include Physics, Research, Electron Microscopy, Materials Science, and 41 others.