Accomplished Data Science Professional with over 8 years of expertise in analytics consulting, research, and analytics services for prominent global organizations spanning private, public, and social sectors. Adept in client management, project management, and end-to-end machine learning project delivery. Formerly associated with McKinsey and DataRobot, currently serving as the Lead Data Scientist at Zerve.ai. Proven track record in implementing credit risk models, pioneering state-of-the-art forecast solutions, and devising AI strategy plans. Demonstrated success in driving overall performance improvement through the identification of new business opportunities, product strategy formulation, operations enhancement, and the development of sales and distribution strategies. Integral to product and competitor research initiatives at Zerve, specializing in solution engineering for prospects and new clients. Actively contribute to Python open source packages. Proficient in Python (ML Stack), R, DataRobot, Tableau, SQL, and Streamlit. Passionate about leveraging advanced analytics to solve complex business challenges, I bring a wealth of experience and strategic insight to every project.