Over six years’ hands-on experience supporting analytical engagements for pharma clients. Highly skilled in Sales Force Incentive Compensation design and operations, Customer Segmentation and Targeting, Promotional ROI Evaluation, Brand Analytics, and more.
Industry and Project Experience
SALES FORCE EFFECTIVENESS
⦿ Incentive Compensation: Create goal/quota setting models for sales teams that incentivize growth; Create pay-out models that leverage sales performance, with a focus on maximizing equity and transparency with the ideal level of employee engagement; Lead IC design projects and presentations with business stakeholders.
⦿ Customer Segmentation and Targeting: Enhance uptake and revenue by identifying high-value prescribers towards whom to focus promotion efforts. Also involves conducting market basket analysis to identify analogs that optimally capture the brand potential for launch product targeting models, alignment as well as modeling for forecasts and trend study for sensitive key metrics.
MARKETING SCIENCE AND BUSINESS ANALYTICS
⦿ Promotion Response Modelling and ROI Analyses: Optimize sales impact of promotions to estimate required sales force size and based on resource constraints for products for different life cycles in support of strategic leadership decisions.
⦿ Test and Control Experiment: Use statistical models and descriptive methods to identify customers with matching promotion and sales behavior to create effective test and control groups; Isolate and assess the impact of experimental promotion on sales.
⦿ Create a custom KPI Dashboard design using Tableau and PPT to measure brand performance and marketing activity outcomes.
TEAM MANAGEMENT 2017- Present
⦿ Manage client expectations and employee performance for ongoing projects and staffing support.
⦿ Lead knowledge-sharing programs among team members to share best practices and case studies.
STATISTICAL PROJECT CONSULTANT, SPORTS AND ENTERTAINMENT ORGANIZATION 2013 – 2014
⦿ Extracted, cleaned and analyzed raw data from multiple files with SQL.
⦿ Applied descriptive and statistical methods to identify factors influencing television broadcast ratings for NBA games.
⦿ Built multiple linear models and quadratic spline models in R, made suggestions for future rating increase.
Technical Skills
Proficient: SAS, SQL, Tableau, R, Python, MS Word, Excel, PPT
Modeling: Multivariate regression, logistic regression, predictive models, clustering, etc.
Education
Master of Professional Studies in Statistics Cornell University (May 2014)
Bachelor of Science, Economics
Ren min University of China (2008-2012)
