About

G Srikanth Reddy is an experienced Data Scientist with a strong background in Credit Risk Modelling, Tableau, Azure, and Agile methodologies. With over 4 years of relevant experience, Srikanth has demonstrated expertise in building statistical models for Debt Collection, Default models, and Risk models for Auto-Loans. Currently working as an Associate Data Scientist at dasceq, Srikanth has been instrumental in creating better debt collection techniques for banks using AI and ML. He has also worked on building a smart contact strategy that has helped improve the overall efficiency of the debt collection process. Prior to his current role, Srikanth worked as a Machine Learning Engineer at TCS, where he was involved in data preparation, manipulation, and EDA for multiple POC projects. He actively contributed to writing programming in Python and R and assisted Senior Data Scientists in their work. Srikanth also played a key role in the documentation process, ensuring that all work was well-documented and easily accessible. Srikanth holds a Master of Science degree in Data Science from the University of Essex, which he is expected to complete in December 2021. He also holds an Integrated Masters degree in Software Engineering from VIT, which he completed in 2018. Srikanth's tech stack includes Data Scientist, Research Scientist, Azure, ML, AI, and Python. He is passionate about using data to solve complex problems and is always looking for ways to improve his skills and knowledge. With his strong analytical skills and ability to work in a team, Srikanth is a valuable asset to any organization looking to leverage data to drive business success.