About

Souvik Manna is a highly motivated and diligent Data Scientist with an advanced understanding of statistical, algebraic and other analytical techniques. He has a significant background in Statistics and credit risk, and is familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Currently working as a Data Scientist at Aditya Birla, Souvik is responsible for setting up portfolio review processes for SME credit portfolios of different partners, identifying high-risk customer segments for postpaid customers, building credit engines, and developing scoring solutions for SME credit portfolios. He has been involved in the end-to-end process of project scoping, data gathering, model development, and independent review. Prior to his current role, Souvik worked as a Data Scientist at Scienaptic AI, where he developed a fraud detection model that captured $1.4M fraud using models like autoencoders and decision tree rules. He also worked on improving the performance of credit management models like XGBoost and LightGBM, built credit solutions and scorecards for clients, and managed credit risk through vintage analysis. Souvik's educational background includes an MS in Quality, Reliability and Operations Research from the Indian Statistical Institute (ISI), and a Bachelor's degree in Statistics from Calcutta University, Kolkata. He has experience working with tech stacks like SQL, Python, AI, Neural Networks, and supervised learning. Overall, Souvik is a self-motivated and ambitious Data Scientist with 1.78 years of relevant experience. He is highly organized and motivated, and has a proven track record of delivering accurate and effective solutions in the field of data science.