Yu Dai
Data Scientist @Ford Motor Company
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WORK HISTORY
Data Scientist @Ford Motor Company
Led end-to-end machine learning projects in collaboration with stakeholders, applying advancedpredictive modeling and statistical analysis to deliver actionable insights for marketing, pricingoptimization, and operational decision-making.• Built and deployed large-scale demand forecasting systems using Python and machine learningalgorithms such as Nested Logit Models, Linear Regression, and Random Forest, identifying risksand opportunities worth hundreds of millions of dollars for senior leadership.• Designed and implemented an industry-wide Price Index as a baseline for segment-level pricingtrends, leveraging time-series forecasting and statistical inference to predict future price dynamicsand optimize incentive strategies.• Evaluated market campaign effectiveness by developing causal inference models (e.g, Differencein-Differences, Propensity Score Matching) and A/B testing frameworks to measure campaignimpact, optimize resource allocation, and identify drivers of success.• Engineered interactive self-service dashboards using data visualization tools to automate insightsdelivery, reduce support ticket turnaround times, and improve operational efficiency.• Conducted counterfactual analysis and scenario modeling using robust analytical frameworks tosimulate “What-If” scenarios and assess business outcomes under varying conditions.• Leveraged survey data as a foundation to develop a robust tool for forecasting future electrifiedvehicle’s market penetration and willingness to pay, transforming raw data into actionable insightsfor optimizing pricing strategies and new product offerings.
EDUCATION
University of California, Berkeley
Summer Session
University of Illinois Urbana-Champaign
Master's degree, Statistics
Shanghai University of Finance and Economics
Bachelor's degree, Applied Mathematics
SKILLS
ABOUT YU DAI
Results-driven Senior Data Scientist with 8+ years of experience developing and deploying…
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