Bio
Krishna Chaitanya Yarlagadda is a seasoned data science and analytics professional with over 12 years of experience driving business transformation through data-driven insights and machine learning solutions. Currently serving as Senior Manager of Data Science, Analytics & Reporting at Mercury Financial, Krishna has established himself as a strategic leader who combines technical expertise with business acumen to deliver measurable results. Krishna’s career spans prestigious organizations, including Amazon, JP Morgan Chase & Co., and US Bank, where he has consistently delivered high-impact solutions that generate substantial business value. His work has contributed to over $200 million in revenue growth and significant operational improvements across multiple industries, including financial services, e-commerce, and digital collections. At Mercury Financial, he has led Digital Analytics & Strategy for Collections, reducing reliance on third-party vendors and saving $2.5M+ while developing ML models that increased digital payment conversions by 15% and reduced charge-off losses by 5%. At Amazon, Krishna led measurement strategies for Private Brands, developing predictive models that improved product performance by 10% and created automated dashboards that accelerated decision-making by 30%. His innovative ASIN Override Dashboard saved 720+ hours annually and drove an incremental $70 million in Gross Merchandise Sales year-over-year. He designed and built ML models using Logistic Regression and XGBoost to predict Override Risk Score, increasing value-add overrides from 41% to 60%. During his tenure at JP Morgan Chase & Co., Krishna developed machine learning models that improved recovery liquidation by 3% and implemented automated solutions that saved the company $6 million annually in commission costs. His Recovery Score Model achieved a 4% improvement in liquidation rates with a $10 million annual impact. He also developed an automated mailing engine for Chase’s Internal Recovery Unit, reducing reliance on third-party agencies and saving $65M in recoveries in the first year. Krishna holds multiple professional certifications across leading platforms, including AWS Machine Learning Specialty, Tableau Data Scientist, and SAS Enterprise Miner. His technical proficiency spans the entire data science ecosystem, with expertise in developing and deploying predictive models using Decision Trees, Regression, Neural Networks, XGBoost, and advanced ensemble methods. He has extensive experience with AWS services, including S3, RedShift, QuickSight, SageMaker, and Glue, and is proficient in Python, R, SQL, and SAS with expertise in libraries such as scikit-learn, Pandas, NumPy, and TensorFlow. Krishna earned his Master of Science in Management Information Systems with a specialization in Business Analytics and Data Science from Oklahoma State University, where he also served as a Graduate Research Assistant and Teaching Assistant. He holds a Bachelor of Technology in Computer Science and Engineering from SASTRA University, India. Known for his ability to translate complex analytical concepts into actionable business strategies, Krishna has led cross-functional teams and mentored junior analysts while maintaining a track record of delivering projects that exceed expectations. Krishna’s commitment to continuous learning and innovation is evident in his extensive certification portfolio and his contributions to industry conferences, including presentations at the SAS Analytics Conference on machine learning applications in banking and healthcare. He has been awarded Amazon Accolades for exhibiting leadership principles and the 5 Keys of Recognition at JP Morgan Chase & Co. for exceeding expectations and building lasting relationships in the analytics space.