Shanmukhanad Gangalla
About Shanmukhanad Gangalla
Shanmukhanad Gangalla is a Senior Data Analyst with experience in data science and analytics, currently working at Purpose Financial. He has a strong background in predictive modeling, A/B testing, and machine learning, having previously held positions at Index Analytics LLC, U.S. Xpress, and Manomay Consultancy Services.
Work at Purpose Finance
Shanmukhanad Gangalla serves as a Senior Data Analyst at Purpose Financial, a position he has held since 2022. He is based in the Greenville-Spartanburg-Anderson area of South Carolina. In this role, he monitors and evaluates machine learning models in production, successfully identifying and resolving issues that have led to an 8% improvement in model performance.
Previous Experience in Data Analysis
Prior to his current role, Shanmukhanad worked as a Data Analyst at U.S. Xpress, Inc. from 2021 to 2022 in Chattanooga, Tennessee. He also held a position as a Data Analyst at Index Analytics LLC for 11 months in 2019 to 2020 in Baltimore County, Maryland. His experience includes designing and executing A/B testing for direct mail campaigns, which optimized response rates by 30%.
Education and Expertise
Shanmukhanad Gangalla earned a Master of Science in Data Science from the University of Maryland Baltimore County, where he studied from 2018 to 2020. He also holds a Bachelor of Technology in Electronics and Instrumentation from Keshav Memorial Institute of Technology, completed between 2013 and 2017. His educational background supports his expertise in data analysis and machine learning.
Achievements in Predictive Modeling
During his career, Shanmukhanad led the development and implementation of predictive models for credit risk assessment, which resulted in a 15% decrease in default rates. He built both response and credit models utilizing data from various credit bureaus, including Factor Trust, TransUnion, and Experian. His collaborative efforts with cross-functional teams have enhanced the efficiency of the underwriting process.
Data Integration and Process Improvement
Shanmukhanad has implemented data integration processes that combined data from multiple sources. This initiative resulted in a 25% reduction in data integration time and improved overall data consistency. His work in this area has contributed to more efficient data management practices within the organizations he has worked for.