Yuanyuan Ge Yuanyuan***.github.io

628-***-****, San Francisco, addqre@r.postjobfree.com Linkedin Github Kaggle P R O F I L E

Specialties: Data Analysis, Machine Learning, Visualization, A/B Testing, Hypothesis Testing, Business Communication Technologies: Python, SQL, R, Tableau, Spark, MongoDB, Web Scraping, AWS, Google Analytics, SPSS, Java Basics Certifications: AWS Cloud Practitioner, Tableau Desktop Specialist E D U C A T I O N

Master of Science in Business Analytics (STEM), University of California, Davis San Francisco, CA Top 10 analytics program in the U.S. in QS Ranking 2019 Sept. 2019 - Jun. 2020 Bachelor in Business Administration (Double Degree), ESSEC Business School Paris, France Top 2 Business School in France Aug. 2014 – Jun. 2018 Bachelor in Business Administration (Double Degree), Tongji University Shanghai, China National Excellent Undergraduate Scholarship Sept. 2014 – Jun. 2018 P R O F E S S I O N A L E X P E R I E N C E

Koret Shelter Medicine Program, Practicum Project San Francisco, CA Data Scientist Oct. 2019 – Present

Led a project with UC Davis, School of Veterinary Medicine to optimize capacity for animal shelters in California

• Developed an AWS-based website with Flask and Python to deliver analytics-driven advice to users.

• Predicted animal adoption rate to propose intake strategy, resulting in 20% operational cost reduction.

• Implemented a segmentation framework leveraging industry research and classification modeling to provide missing data suggestions, increasing potential user base by 30%.

• Enhanced user experience by building visualization dashboards, raising click-through-rate by 50%. Changjiang Asset Management, Structured Finance Dept. Shanghai, China Financial Analyst Intern Nov. 2018 – Jan. 2019

Carried out analysis on structured finance assets to support product issuance and management

• Created a program in Excel VBA to update financial statistics, increasing reporting efficiency by 80% overall.

• Improved performance monitoring of $30M assets by building an interactive Tableau dashboard. Ernst & Young, Advisory Shanghai, China

Consultant Intern Apr. 2018 – July 2018

Engaged in multiple projects of the auto team, clients include top car manufacturers and dealerships

• Forecasted the demand of Chinese used car market in R with 10 years historical data for a strategical report.

• Conducted market research and benchmarking analysis for a project proposal, which helped to win a $1M bid. Huawei France, Assurance & Managed Services Dept. Paris, France Operations Analyst Intern Aug. 2017 – Jan. 2018

Monitored project management metrics to provide qualified service to top telecommunication firms in France

• Augmented procurement procedure by creating an ETL pipeline, reducing data processing time by 90%.

• Cleaned and manipulated large datasets (60M rows) using SQL and Python to perform inventory optimization.

• Delivered annual service review to major clients by visualizing operational data of 20+ warehouses in Tableau. P R O J E C T S

Venmo Social Network Analysis and User Lifetime Value Prediction (Big Data, Python, Spark) May 2020

• Processed 7M+ transaction records with topic modeling and social network analysis to explore user behavior.

• Established consumption behavior profiles of 1M users with SQL, predicted customer life value with RFM model (Recency, frequency, Monetary) and social network characteristics, reached 81.7% accuracy. Combat COVID-19 with Analytics: the impact of Government Initiatives (Website, Link) April 2020

• Analyzed the impact of government responses on disease control by comparing the statistics of Wuhan and New York, presented the discoveries with various visualizations on a public website.

• Quantified the impact of government intervention by building a simulation model based on the SEIR disease infection theory in Python, visualized through Tableau.

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