About

Sumanta Muduli is a skilled Data Scientist with a strong background in Machine Learning, NLP, and Deep Learning. With excellent knowledge in Visualization using Tableau, Excel, and Python (seaborn, matplotlib), he has worked on a variety of projects in the field of Machine Learning. He is currently working as a Programmer - Data Science at Flutura Decision Sciences & Analytics. Sumanta has a keen interest in analytics, sentiment analysis, and data processing. He is always eager to learn and seeks out new relevant technologies. He is accustomed to a fast-paced environment where deadlines are a priority and can handle multiple jobs simultaneously. Sumanta's past experience includes working as a Data Scientist at Flutura Decision Sciences & Analytics and as a Loan Default Prediction specialist at Almabetter. At Almabetter, he developed an XGBoost classifier to predict whether a customer will default on a loan and achieved impressive AUPRC scores of 92% and 88% on train and test data, respectively. He also engineered a new class of attributes known as decayed field variables and developed out-of-pattern variables on historical loan and bureau data to identify customers with comparatively higher risk of defaulting loan and reduced bad rate from 14.2% to 10.5%. Sumanta holds a Bachelor of Technology degree in Mechanical Engineering from Indira Gandhi Institute of Technology (IGIT), Sarang. His tech stack includes Data Scientist, Deep Learning, NLP, Research Scientist, ML, Sentiment Analysis, Seaborn, and Python. He has relevant experience of 1.52 years in the field of Data Science. Sumanta is passionate about his work and is looking to leverage his knowledge and experience into a role as a Data Scientist.