About

Prashanth Sekar is a skilled Senior Data Scientist with a strong background in data analysis and machine learning. Currently working at TransUnion, he has demonstrated his expertise in the field by building a single scorecard solution to predict consumer behavior and helping lenders target the top segment of the population. He has formulated a new definition for the target variable and built a classifier to predict the same, which resulted in a lift of 11.2% over the benchmark score. Prashanth has previously worked as a Data Science Intern at TransUnion, where he gained valuable experience in the field. He has also worked as a Research Assistant at Indiana University School of Public and Environmental Affairs, where he analyzed the factors impacting opioid and other narcotic overdoses across the country through exploratory data analysis and fixed effects regression models. He has also explored the impact of Medicaid work requirement legislation on employment and Medicaid enrolments in the states of IN, AK, KY, and NH through interactive visualizations and dashboard using PowerBI and ShinyR. Prashanth has a Master's degree in Data Science from Indiana University and a Bachelor's degree in Computer Science from Shanmugha Arts, Science, Technology, and Research Academy. He has a relevant experience of 5.87 years and is proficient in various technologies like Data Scientist and Research Scientist. With his strong analytical and problem-solving skills, he is capable of delivering results in fast-paced environments. Prashanth is a dedicated team player who is always looking for ways to improve his skills and contribute to the success of his team.