YINGTIAN YANG

**** ******** ***

San Bruno, CA **066

717-***-**** add9jh@r.postjobfree.com

EDUCATION

MIT SLOAN SCHOOL OF MANAGEMENT Cambridge, MA

Master of Business Analytics, Operations Research Center Sept 2017 – Aug 2018

• Key Coursework: Machine Learning, Optimization Methods, Applied Probability, Analytics of Finance

• Career Relations Team of Business Analytics Career Night; Member of Management Consulting Club; Board Member of MIT Chinese Students and Scholars Association

BARNARD COLLEGE OF COLUMBIA UNIVERSITY New York, NY Bachelor of Arts, summa cum laude, Applied Mathematics (1st in Major), Economics (2nd in Major) 2010 – 2014

• GPA 3.99/4.0, Phi Beta Kappa, Kohn Mathematical Prize (To a senior for excellence in mathematics)

• Data expert at Barnard College empirical reasoning lab, held office hours for peer students with data analysis questions; maintained online tutorials of Excel

• Summer research fellow in Columbia Math Department, focused on elliptic curve cryptography WORK EXPERIENCE

UBER TECHNOLOGIES INC. San Francisco, CA

Product Analyst, Data Science - Subscription (SQL, Python, ETL tools, dashboarding tool) Oct 2018 - Present

• Design, implement and analyze A/B tests to measure performance of subscription products (rides+eats) with more than 400K active subscribers, including growth track experiments that generated 20% incremental new subscribers

• Generate actionable insights and prioritize features using headroom analysis, cohort analysis and long-term trends

• Create data pipelines and dashboards to monitor key metrics; output datasets have usage within top 10 percentile of the firm

• Collaborate with engineering to implement and validate mobile logging to build data foundation for funnel analytics, used in all subsequent experiment analysis and ML model training NERA ECONOMIC CONSULTING New York, NY

Analyst, promoted from Research Associate (2015) and Associate Analyst (2016) (SQL, SAS, VBA) 2014 – 2017

• Analyzed 100K+ bond and equity transactions in retirement accounts for a firm with 2,000+ employees; reverse engineered extra fees charged since plan initiation; results used directly by clients to present to Department of Labor

• Utilized and modified forecast models to evaluate companies' asbestos liability (from $10K to over $2B) for annual reporting purposes and in merger and acquisition matters; developed programs in STATA and SAS to automate data cleaning and reformatting, leading to a gain in efficiency from 2 days to 1 hour

• Led team of four analysts to review and consolidate data across 10+ different companies in the life insurance industry and evaluated fee structures for their products; designed templates to standardize and stack datasets DATA SCIENCE PROJECT EXPERIENCE

MAILCHIMP – MIT SLOAN Cambridge, MA

Data Science Intern, Capstone Project (Python, R) Jan 2018 – Aug 2018

• Utilized 90M+ rows of sales data to decide optimal length of sales history to predict future sales; enhanced email marketing efficiency of small business by more than 20%

• Explored matrix factorization techniques to generate personalized product recommendations for small stores with sparse data, with stats sig higher recall than collaborative filtering MIT SLOAN – AMAZON FASHION Cambridge, MA

Analytics Lab Project –Consumer Segmentation and Rank Optimization Analysis (R, Julia) Fall 2017

• Analyzed 3.5M search query results on Amazon to gather insights about consumer behavior across segments based on product features including price, brand and Prime eligibility

• Built predictive models (XG Boost, Random Forest) to identify key drivers for customer purchase ADDITIONAL INFORMATION

• Skills: R, SQL, Python, Hive, Excel and VBA, SAS, STATA, Earned CFA Level I

• Language: Fluent in Mandarin

• Interest: Baking Chinese desserts, Running in different parts of the world

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