About

Souparno Bardhan is a highly motivated Quant Analyst with over 4.70 years of experience in the field. He is currently working as a Card Analyst at JP Morgan & Chase, where he is responsible for analyzing and interpreting data to provide insights and recommendations to key stakeholders. Souparno is a firm believer in continuous learning and growth, and he constantly pushes himself to step out of his comfort zone in order to achieve his goals. Prior to joining JP Morgan & Chase, Souparno worked at Mu Sigma, where he held the positions of Apprentice Leader and Lead Decision Scientist. In these roles, he gained valuable experience in data analysis, predictive modeling, and machine learning. Souparno's technical expertise and attention to detail have made him a valuable asset to every team he has worked with. Souparno holds a B.Tech degree in Electronics and Communications Engineering from Kalinga Institute of Industrial Technology, Bhubaneswar. He has a strong background in research and is skilled in using a variety of tools and technologies to analyze complex data sets. Souparno's ability to communicate complex technical information to both technical and non-technical stakeholders has been instrumental in his success. In addition to his technical skills, Souparno is a team player who is always willing to go the extra mile to ensure that his team achieves its goals. He is a quick learner and is always looking for ways to improve his skills and knowledge. Souparno's passion for data analysis and his dedication to continuous learning make him an excellent choice for any organization looking for a talented and motivated Quant Analyst.