Honghao Yu

Latest UPDATE: 2021/03/31

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Education

HEC Paris, Jouy-en-Josas, France | Sep. 2020 -- Jun. 2021
MSc. in Data Science for Business
  • Courses: Object Detection (data challenge with Eleven), Strategy & Data, Deep Learning, Startup Camp, Data Compliance, Missing Data Imputation (data challenge with Natixis), ML Deployment on Cloud, the Economic Value of Data, Demand Forecasting & Pricing (data challenge with Total Fioulmarket), Natural Language Processing, Algorithmic Fairness, etc.
École Polytechnique, Palaiseau, France | Sep. 2019 -- Sep. 2020
MSc. in Data Science for Business
  • Courses: Probability Theory, Linear Algebra, Python for Data Science, Statistics, Regression, Large Scale Data Management, Machine Learning, Deep Learning & Optimization, NLP DataCamp with Capgemini Invent, etc.
  • Internship: Improvement of eCPM Ranking in Auction Ads (at TikTok for Business)
Renmin University of China, Beijing, China | Sep. 2015 -- Jun. 2019
B.S. in Labor Economics
  • Courses: Mathematical Statistics, Data Structures with C (algorithm analysis, linear list, stack, queue, tree, graph, sorting, etc.), Intermediate Micro/Macroeconomics, Financial Derivatives, Game Theory (static and dynamic equilibrium, auction), Data Mining, Business Intelligence, etc.
  • Thesis: 《中国城镇家庭的生育数量选择》(The Number of Children Chosen by China's Urban Families)
Cornell University, Ithaca, NY, US | Aug. 2017 -- Dec. 2017
Fall Semester Exchange Student at Cornell ILR School
  • Courses: Non-profit Management & Finance (MPA/MBA course), Applied Econometrics, Economics of Health Care, Women in the Economy.
  • Honor: Dean's List
  • Funded by China Scholarship Council
Yale University, New Haven, CT, US | Jul. 2017 -- Aug. 2017
Yale Summer Session Candidate
  • Courses: Cultural Anthropology, Culture Behavior & Brain.
  • Funded by RUC Presidential Scholarship

Projects & Competitions

Electricity Consumption Decomposition (course project) | Apr. 2020
  • Utilized ELM, XGBoost and LightGBM with Python to perform Non-Intrusive Load Monitoring (NILM) on datasets provided by an energy company.
Fast MF for Online Recommendation with Implicit Feedback (course project) | Mar. 2020
  • Parallel computation implementation with PySpark for Fast Matrix Factorization for online recommendation with implicit feedback based on an academic paper (https://www.comp.nus.edu.sg/~xiangnan/papers/sigir16-eals-cm.pdf)
Predicting Air Passengers (course project) | Nov. 2019
  • Utilized XGBoost and Random Search techniques with Python to predict the volume of air passengers based on self-collected data; ranked No.2 with an RMSE of 0.244.
2019 Bain & Co. Case Competition, China | May. 2019
  • Ranked TOP40 out of 550+ teams from 7 top Chinese universities;
  • Analyzed the trends and challenges faced by jewelry industry and provided possible expansion strategies for Pandora.
Simulative Flight Search Tool (course project) | Dec. 2018
  • Designed a simulative flight search tool in C with multiple data structures (including linked list, trees and graphs) and sorting algorithms; the tool is able to process a given flight schedule and return the optimal option based on the input.

Professional Experience

Strategy Product Manager Intern, TikTok/ByteDance, Beijing, China | Mar. 2020 -- Oct. 2020
  • Responsible for designing products and strategies to satisfy the needs of different advertisers as well as optimizing the underlying auction ads delivery system powered by economic and machine learning models;
  • Cooperated with R&D and BI to lower the bias and variance of CVR (conversion rate) prediction model using various methods (data flow optimization, calibration, feature engineering, model ensemble, etc.);
  • Performed statistical analysis on traffic-based budget allocation to help avoid abnormal behaviors in ads delivery;
  • Provided a tutorial for ads delivery testing and led the trial delivery in 22 newly launched countries as a major POC;
  • Performed competitor (Facebook/Google) research to figure out the shortcomings of TikTok Ads and to explore new products and strategies accordingly.
Business Intelligence Intern, Didi Chuxing, Beijing, China | Jan. 2019 -- May. 2019
  • Identified and fixed a vital error in the production of a fundamental Hive table and increased the accuracy by 6.0+%;
  • Created Tableau dashboards and programmed 5+ hundred-lines SQL/Shell templates to support local operations;
  • Identified potential causes of high cancellation rates by passengers with regression models.
Social Media Analyst Intern, DataStory, Beijing, China | Sep. 2018 -- Dec. 2018
  • Analyzed mass-scale data collected from China’s leading social media (e.g. Weibo, WeChat) with Python and Excel and provided analytical reports (in PowerPoint slides) on KOL performance and brand image perception for clients like Qualcomm, Intel, etc.
Business Intelligence Intern, Mobike, Beijing, China | Jul. 2018 -- Aug. 2018
  • Aided in the productizing of a data-driven bike dispatch strategy (increased the ROI by over 40%) by designing experiments, creating interactive maps, analyzing results, and developing a verifying mechanism;
  • Identified several forms of cheating behaviors with historical data and helped provide solutions;
  • Programmed 10+ Shell and SQL scripts to build multi-dimensional tracking reports of manual intervention of bikes
Research Assistant Intern, IHS Markit, Beijing, China | May. 2018 -- Jun. 2018
  • Provided quantitative support for research on China's energy market trends.

Leadership Experience

Head, Department of Social Engagement, Students’ Union of SLHR, Beijing, China | May. 2016 -- May. 2017
  • Directed 22 members, 5 community service programs (e.g. caring for autistic children) and 4 corporate partnership programs (with Huawei, etc.); Designed activities to arouse awareness of the underprivileged (e.g. HIV sufferers).
Officer, International Exchange & Development Association (RUC IDEA), Beijing, China | Mar. 2016 -- Mar. 2017
  • Co-organizer of the 15th International Culture Festival at RUC which attracted more than 10,000 visitors.
Global Volunteer, AIESEC, Baku, Azerbaijan | Jul. 2016
  • Collaborated with volunteers from more than 30 countries to deliver well-designed courses to local kids.

Others

  • Languages: 🇨🇳 Chinese Mandarin (mother tongue), 🇨🇳 Gan Chinese (mother tongue), 🇬🇧 English (advanced), 🇫🇷 French (intermediate)
  • Interests: Singing, blogging, technologies, traveling, prehistoric civilizations, geography, etc.
  • Organization/community affiliations: 五道口产品观察
  • Countries visited: 🇨🇳 🇰🇷 🇦🇿 🇹🇭 🇺🇸 🇲🇽 🇬🇪 🇹🇷 🇮🇱 🇻🇳 🇸🇬 🇶🇦 🇫🇷 🇳🇱 🇧🇪 🇱🇺 🇵🇹 🇪🇸