Revanth Garlapati

Data Analytics Manager with a penchant for providing practical solutions to business problems by leveraging statistical analysis and machine learning to enable data-driven decision making. Experienced in Python, SAS, end-to-end implementation of machine learning projects including: exploratory data analysis, model training, hyperparameter tuning, optimization, performance evaluation, inference, model interpretability and maintenance; managing a team, communicating & collaborating with various business stakeholders, mining large data sets, innovating, exploring and developing novel applications of data science to improve business. Fluid understanding of design implementation and visual communication of results. Total work experience of 13 years. Worked in financial services, biomedical research and healthcare insurance, retail industries with experience in developing computational algorithms and applications. Generative AI enthusiast: upskilling by building applications.

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