About

Sumedha Ghosh is a highly enthusiastic Data Scientist with a passion for deriving business insights through advanced analytics. With a background in Statistics, Sumedha is well-equipped with Basic Statistics along with Machine learning and other advanced technologies. Currently working at Goldman Sachs as an Analyst in Marcus Lending decision sciences, Sumedha has gained 2.78 years of relevant experience in the field. Sumedha's expertise lies in ML, Data Science, Research Science, Scikit, Python, XGBoost, and Hyperparameter. She has previously worked as a Data Science Senior Analyst at Accenture, where she enhanced productivity by scheduling reconciliation of accounts using risk score. Sumedha has also worked as a Researcher at ANZ, where she researched the nature of hyperparameters in XGBoost and the way they interact. Sumedha has a Master's degree in Statistics from the Indian Institute of Technology, Bombay, which she completed in 2020. Prior to that, she completed her Bachelor's degree in Statistics from St. Xavier's College (Autonomous), Kolkata, in 2018. With a strong academic background and relevant work experience, Sumedha is a valuable asset to any organization. She is passionate about using her skills to derive insights from complex data and contribute to the growth of the organization.