Shivam Tiwari is a results-driven Principal Data Science professional with over a decade of experience transforming complex data into strategic business solutions. Currently serving as Principal Data Science at Discover Financial Services, he has consistently delivered measurable impact through advanced analytics and machine learning applications.
At Discover, Shivam led a comprehensive vendor assessment that achieved a 14% increase in high-confidence entity resolution matches and drove a 4% improvement in product-level resolution accuracy. His innovative approach to streamlining manual processes, including developing similarity models and API integrations, reduced review times by 30% while maintaining rigorous statistical validation standards.
Previously, as a Data Scientist at Google, Shivam engineered real-time analytics dashboards and A/B testing frameworks that informed critical product decisions for Google My Business and Merchant Center. His expertise in causal inference modeling and data integrity audits provided actionable insights that directly influenced strategic product development.
Throughout his career at organizations including Raymond James and Foot Locker, Shivam has demonstrated exceptional ability to translate technical complexity into business value. Notable achievements include developing predictive models that increased sales revenue by 2.5%, implementing time-series forecasting for resource optimization, and creating entity resolution pipelines that unified millions of customer records.
Shivam holds an MS in Business Analytics from The University of Texas at Dallas and a Bachelor's in Computer Science from SRM University. His technical expertise spans statistical modeling, machine learning, data visualization, and big data analytics, complemented by strong business acumen and cross-functional leadership skills.
Known for his strategic thinking and mentorship abilities, Shivam excels at directing cross-functional teams while maintaining hands-on technical involvement. His proven track record of delivering statistically significant improvements and driving data-driven decision-making makes him a valuable asset in any data-intensive organization.