Yan Jiang Email & Phone Number

Wilmette, Il, Us

Indianapolis, Indiana, Us

Indianapolis, Indiana, Us

• Develop and implement analytical solution from end to end in a cross-functional environment in areas including program integrity, claim quality, cost of care, provider network design and optimization, and Medicare member retention.• Manage 30+ member team with master and PhD degrees, and recruit and continuously develop talents to improve team engagement and efficiency.• Deliver innovative AI/Machine Learning solutions that transform health care business in highly ambiguous environment with tight timelines to drive significant business impact.

Indianapolis, Indiana, Us

Major achievements• Led the development of comprehensive Fraud, Waste, and Abuse lead generation tool with intuitive visualization that processes billions of claim records, which improved lead acceptance rate from 4% to 75% and resulted in 80M+ savings;• Worked with various program integrity operation areas to develop and deploy machine learning solutions and achieved 50M+ savings for the supported initiative;• Delivered the network design and optimization API that applies mathematical optimization to conduct smart search within billions of combinations to identify the optimal provider network within minutes, which has reduced work time from months to within a week;• Worked with sales, marketing, and customer service team to develop and deploy the machine learning solution to improve Medicare disenrollment within 4 months. The associated loyalty campaign reduced disenrollment rates by half for the targeted population.

Indianapolis, Indiana, Us

• Experienced acquisition by Expedia and worked on fraud detection in air and hotel booking.

Chicago, Il, Us

• Led a team of 11 analysts to develop an automatic model building tool, which not only reduced the model development time of 80 purchase propensity models for various Sears and Kmart product categories from 3 months to 2 days, but also achieved significant performance improvement across models. • Optimized model variable formats across various data sources, and automated model sample generation and data pull code for 4000 variables across 80 purchase propensity models.• Automated model report and scoring code generation for developed models to reduce the model validation and implementation time from months to days.

Chicago, Il, Us

• Develop, validate, score, monitor and improve predictive models to support targeted marketing and personalization efforts to generate incremental sales for Sears, Kmart, and Shop Your Way Rewards across omni-channels.• Develop innovative optimization solutions, employing both statistical modeling and mathematical optimization techniques, for marketing and merchandising management.• Prove benefits of combining predictive modeling and optimization through identifying optimal personalized offer assignment, and build the optimization function.• Identify business opportunities, and propose and lead analytics projects.• Interview job candidates, and train and manage analysts both on-site and off-shore.• Communicate analytics results and provide business insights to high level executives and internal business clients.Select Projects• Purchase propensity models: logistic regression models with top decile capturing 40-60 percent of purchasers• SYW MAX acquisition model: decision tree to predict the probability for a customer to join SYW MAX program• Web data mining: analyze search texts and page visit conversion rates to identify useful patterns• POS offer optimization: optimize offer allocation at Sears POS with $10 million increase in annualized margin based on A/B test• Lawn and Garden Localization: identify optimal marketing timing and underlying weather triggers for each DMA• Apparel assortment optimization: recommend optimal assortment and inventory level for each Sears store with 10-30% estimated margin increase in back test• Sales forecasting models: develop seasonal ARIMA and UCM models with independent variables to forecast monthly sales at both national and DMA level

Inventory Management with Purchase Order Errors and Rework- Performed exploratory statistical analysis and multilevel regression analysis on data from a large retail distribution center to obtain characteristics of purchase order errors and rework.- Studied the impact of purchase order errors and rework on the retailer’s inventory related costs and policies.Business Intelligence for Promotion Planning and Labor Budgeting in Retailing Sponsor: Predictix LLC.- Developed exact column generation and KMeans-GA heuristic algorithms to cluster SKUs according to seasonal effects for promotion planning and labor budgeting.- Implemented and tested these algorithms using Java, Cplex and R on data from two large retailers.Joint Production and Investment Decisions under Carbon Emission Regulations- Characterized the optimal investment in process improvement projects, and production decisions for emission-intensive firms under cap-and-trade and command-and-control regulations.- Studied and compared the influence of different regulations on a firm's expected profit, total emissions, and the timing and amount of its investments.Potential Applications for Brickstream Shopping Path Data Sponsor: Predictix LLC.- Produced a summary report on the potential applications for the shopping path data through discussions with industry experts and literature research.

STATISTICS: Introduction to Probability; Statistics; Statistical Methods for Data MiningBUSINESS ANALYTIC: Operations Management; Decision Tools for ManagersMODELING AND OPTIMIZATION: Supply Chain Modeling and AnalysisOTHERS: Economics and Finance for Engineers; Engineering Entrepreneurship; Organizational Behavior; Introduction to Healthcare Systems Engineering

• Design and implement various algorithms, including column generation based heuristic, K-Means embedded genetic algorithm, and hierarchical clustering based algorithm to group SKUs with similar seasonal patterns • Participate in developing the promotion planning system for a large retail chain

Worked with an experienced labor supervisor to prepare shift schedules for construction crews.

Ph.D., Industrial Engineering And Management Science

M.S., Industrial Engineering And Management Sciences

B.S. With Honors (Top 5%), Civil Engineering