About

Sanket Sharma is a highly skilled Senior Analyst in Customer Analytics at Merkle IDC with a passion for data science and machine learning. With over 2 years of relevant experience, Sanket has worked across multiple domains, including healthcare, e-commerce, and retail. He is an expert in ML engineering, data science, and SQL, and has a strong background in computer science and engineering. Sanket's current role at Merkle involves analyzing customer data to provide insights and recommendations to clients. He is skilled in using ML algorithms to build predictive models and has experience with tools such as Scikit, Pandas, and Tensorflow. Additionally, he has expertise in data visualization using tools like Seaborn and has experience working with cloud platforms such as AWS, Azure, and Snowflake. Prior to joining Merkle, Sanket worked as a Senior Analyst at Ugam, where he gained valuable experience in product development and research. He was part of the product team and contributed to the feedback model for Charge Capture (CC), which helped in finding high-performing pred codes. He also performed detailed analysis of data for AR FollowUp and implemented delta tables for reducing query time. Sanket designed and coded the training architecture for AR FollowUp in Databricks using LightGBM and conducted research for Denial Prediction. Sanket holds an M.Tech in Computer Science and Engineering from GLA University and a B.Tech in Computer Science and Engineering from Dr. A.P.J. Abdul Kalam Technical University. He is passionate about staying up-to-date with the latest trends in the industry and is always looking to expand his knowledge and skillset. Sanket is an excellent team player and has worked collaboratively with cross-functional teams to deliver successful projects. Overall, Sanket Sharma is a highly skilled data scientist and ML engineer with a strong background in computer science and engineering. He is passionate about using data to drive insights and recommendations and has a proven track record of delivering successful projects.