Bio

Varun Raj Duvalla is a results-driven Data Scientist with proven expertise in machine learning forecasting, predictive analytics, and business intelligence. At PayPal, he led the development of advanced forecasting frameworks using deep learning, probabilistic models, and ensemble methods to support product adoption strategies and resource planning across U.S. and U.K. markets. His tailored machine learning models significantly improved forecast accuracy and contributed to growth in key financial products. Previously, at PayPal’s Timonium office, he built automated data quality validation libraries for scalable data pipelines and integrated real-time anomaly detection, improving data integrity and operational efficiency. He also led A/B testing campaigns to enhance customer acquisition, achieving measurable increases in conversion rates. Earlier in his career at Check Into Cash, he applied machine learning techniques to improve marketing strategies through customer segmentation and supported risk management by developing models that better predicted and reduced loan defaults. Varun holds a Master’s degree in Information Systems from Northwest Missouri State University and a Bachelor’s degree in Computer Science & Engineering from St. Martins Engineering College. He is certified in Machine Learning by Stanford University and holds the IBM Data Science Specialization. With a proven track record of transforming complex data into actionable insights, Varun continues to leverage his expertise in time series forecasting, machine learning modeling, and MLOps automation to drive business success.