Yanghe H. Email & Phone Number

Mexico City, Mexico

- Built and operationalized the right products for different markets to move our business forward, work closely with and impact global cross-functional partners- Project: refined real-time supply and demand adjustment systems to improve the accuracy of the adjustment algorithm in the systems- Project: Improve the ETA accuracy to improve the eaters perception and conversion rate, and improve Delivery Process Efficiency

Beijing, China

- New passengers growth analysis & paid marketing cost-efficiency analysis for global ride-sharing business- Defined user experience map and quantify the impact of bad experience on user retention and ranking of importance and developed an overall user experience metric system for the global business team to monitor changes in user experience- Analyzed the problems of driver acquisition, engagement, service control, and dispatching strategies from the perspective of the supply-demand marketplace, providing solutions and directions for improvement- Established an experimental framework for food business, supported the evaluation and result output of several core AB experiments

Greater New York City Area

- Designed and developed automation to generate data reports using intensive R, Python, SQL, reducing the processing time for one data product by 3 hours- Owned JSON data Reports in-take process by strategically planning the timeline for understanding and consolidating the existing data capabilities, testing, mitigating data deficiencies, prioritizing and allocating resources- Collaborate with Front Office, Technology, Quant teams to understand varying setups of e-trading operations across the Firm to normalize data necessary to meet the regulatory standard

Greater New York City Area

- Provided statistical consultancy to client’s teams and solved business problem via statistical analysis and machine learning methodology, including A/B testing, correlation analysis, regression analysis- Served as a key contact point for daily data pull requests from various teams at top US credit card company- Incorporated customer demographics, spend behavior and risk scores, to identify primary attributes relevant in predicting attrition in 4-9 months from present date- Framed prioritized list of clients for taking action by marketing teams, for maximizing spend recovery by avoiding losses - Evaluated comparative performance of Logistic Regression & Machine Learning models (GBM)- Built response model to increase campaign efficiency by identifying the main factors that affect the success of a campaign- Predicted whether the campaign will be successful to a certain client and improved response rate by 15%- Developed a clustering model which segment customers of the business into different meaningful groups based on the main characteristics of each customer group to maximize channel ROI by improving their customer-centric marketing effectively- Designed and maintained dashboard and template in Excel and Python to visualize data using graphs including bar plot, line plots, heat maps, etc. and performed exploratory data analysis to summarize and find the patterns behind large data sets- Performed data analysis, data management and data cleaning on large datasets (12 billion records), including wrote SQL queries to combine and select data, generating and summarizing different tables for various analysis purpose

Beijing, China

- Collaborated with Sales team, Operations and Product Development to update internal database system- Provided timely updates on key trending data to effectively facilitate the day-to-day work flow- Analyzed sales managers effectiveness on win rates and turnover using t-test and ANOVA through SAS

Master'S Degree, Computer And Information Technology

Master'S Degree, Statistics, 3.8/4.0

Bachelor'S Degree, Statistics

Activities and Societies: Youth League Committee, department of operation.Published a paper. ‘Thinking of the management of debt.