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ImageOver the past several years, I have developed a robust expertise in data science and AI, with a specific focus on practical applications such as forecasting, product recommendations, and pricing strategies. At FastGrowingTrees.com, I lead a team of data scientists in pioneering advanced data science methodologies. Notably, I have spearheaded the development of CUPED variance reduction models, enhancing A/B testing efficiency by 20%, and have created sophisticated pricing elasticity models informed by the latest causal inference research. These projects demonstrate my ability to integrate cutting-edge research into real-world business solutions, resulting in significant operational improvements and data-driven decision-making. Previously at Wayfair, I managed analytics and data science workstreams for fintech and loyalty programs, where I developed causal inference models to assess the incremental value of loyalty and financing products. My efforts included leveraging domain knowledge to enhance data quality and improve modeling outcomes, as well as conducting extensive exploratory data analysis (EDA). Additionally, my role involved mentoring junior team members, ensuring the transfer of knowledge and fostering a collaborative environment. With a strong academic background in applied economics and business analytics, I bring a unique combination of theoretical knowledge and practical experience that sets me apart in the field of AI training data and data labeling.
enhance the performance and reliability of a Large Language Model (LLM) by systematically evaluating its responses across a wide range of general topics and query types
Master's degree, Applied Economics, Applied Economics
Master of Business Administration, Business Analytics
Data Science Manager
Manager of Applied Data Science and Analytics - Fintech & Loyalty
