Yu-Han Chen

Senior Staff Analytics Engineer at The Estée Lauder Companies Inc.
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Contact Information
us****@****om
(386) 825-5501
Location
New York, New York, United States, US
Languages
  • Mandarin Native or bilingual proficiency
  • English Full professional proficiency
  • Japanese Limited working proficiency
  • Hokkein/ Taiwanese Native or bilingual proficiency
  • Korean Elementary proficiency
Skills

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Riley Donegan

Yu-Han Chen is an operator of the first order. Not only is she a more than capable data scientist, but also a proven effective manager of people, and - most importantly - a resource capable of thinking in business terms as well as technical ones. Yu-Han can provide the rare link between technical and non-technical groups, capable of both abstracting the work she and her team do to the point where an executive audience can get what they need to make informed decisions, as well as distilling vague and poorly defined business needs into cogent problem statements and feasible technical solutions. A one-woman SWAT team, I can honestly say most of the wins our team has had these past few years wouldn't have been possible without YH as a cornerstone.

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Credentials

  • Open Water Diver
    PADI
    Oct, 2021
    - Sep, 2024
  • Master's Degree Diploma
    New York University
    May, 2018
    - Sep, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Apr, 2018
    - Sep, 2024
  • Neural Networks and Deep Learning
    Coursera
    Mar, 2018
    - Sep, 2024
  • Mental Health First Aid USA
    NYC Department of Health and Mental Hygiene
    Feb, 2018
    - Sep, 2024
  • Statistical Learning
    Stanford University
    Nov, 2017
    - Sep, 2024
  • IS-00230.d Fundamentals of Emergency Management
    FEMA
    Sep, 2017
    - Sep, 2024

Experience

  • The Estée Lauder Companies Inc.
    • United States
    • Personal Care Product Manufacturing
    • 700 & Above Employee
    • Senior Staff Analytics Engineer
      • Aug 2022 - Present

      • Spearheading global personalization efforts for Estee Lauder Companies' direct-to-consumer websites and social media channels. • Launching product recommendations, personalized CRM solutions, Consumer Data Platforms, and collaborating with the infrastructure team on the cloud infrastructure on the Google Cloud Platform. • Taking charge of end-to-end design, execution, and post-analysis of media experiments to optimize marketing strategies and campaigns. • Spearheading global personalization efforts for Estee Lauder Companies' direct-to-consumer websites and social media channels. • Launching product recommendations, personalized CRM solutions, Consumer Data Platforms, and collaborating with the infrastructure team on the cloud infrastructure on the Google Cloud Platform. • Taking charge of end-to-end design, execution, and post-analysis of media experiments to optimize marketing strategies and campaigns.

  • PepsiCo
    • United States
    • Food and Beverage Services
    • 700 & Above Employee
    • Principal Data Scientist / Senior Data Science Manager
      • Apr 2021 - Aug 2022

      • Formulated global target marketing campaign strategies, the first-party data enhancement, and cross-team collaboration methodology/practices. • Initiated international target marketing campaigns by integrating 1P/3P data sources, developing models to generate audience profiles and predict purchase propensities• Managed a team of 8 Senior/Junior Data Scientists and contractors.• Curated project transition checkpoint guidelines across multiple teams, led the code implementation tasks to ensure new members can get onboarded easily by pivoting the updated GitHub repositories, knowledge transferred enhancement proposals to other global Data Science teams. Show less

    • Senior Data Scientist
      • Nov 2020 - Apr 2021

      • Managed a team of 3 Data Scientists and interns.• Designed recruiting workflow with the Directors of Research Science/Deep Learning team and the HR.• Cooperated with the Net Revenue Director, 4 Research Scientists, and 3 Data Engineers to construct price elasticity models that optimize both suggested retail price and promotional price. • Initiated international target marketing campaigns by integrating data sources, compiling clustering algorithms, and designing metrics to predict consumer purchase propensities. Show less

    • Senior Solutions Engineer
      • Aug 2019 - Nov 2020

      • Managed a team of 2 Solutions Engineers• Led a team of 7 people, including Data Scientists, Solutions Engineers, and Data Engineers to develop the data-driven product launch capability• Conducted segmentation analysis of “brand needs” and socialized framework within functions and business units, which led to brand positioning and innovation strategy for the PepsiCo snack and beverage portfolio• Supported the innovation team in new product development, including concept development, qualitative and quantitative product testing, and test market/in-market evaluation• Evaluated the effectiveness of brand creative and marketing programs to provide recommendations for future changes• Facilitated the development of new tools and data resources to better understand shopper behavior, demand, and loyalty Show less

    • Data Science & Machine Learning Analyst
      • Sep 2018 - Aug 2019

      • Cooperated with the Global Strategy & Customer Insights team for the Innovation Genome project, which aims at launching new brands and products by analyzing terabytes of clickstream data• Increased 2% clickthrough rate of PPC sponsored ads on Amazon.com via exploring online shoppers behaviors and quantifying the volume of search terms so as to improve the bidding strategies• Focused on handling text data such as parsing product information and extracting critical product features for the purpose of machine learning model preparation Show less

  • Itemize - Purchase Document Data Extraction
    • NLP Data Engineer
      • Jan 2018 - May 2018

      • Developed a two-level document classifier with 91% F1 score to filter noisy data and to categorize financial documents for the acceleration of processing time and the expansion of API features. • Analyzed high volumes of financial documents by using the Google Cloud Vision and in-house OCR model, reported data trends to the Operations team and cooperated with the Tech team to build a new classification engine. • Developed a two-level document classifier with 91% F1 score to filter noisy data and to categorize financial documents for the acceleration of processing time and the expansion of API features. • Analyzed high volumes of financial documents by using the Google Cloud Vision and in-house OCR model, reported data trends to the Operations team and cooperated with the Tech team to build a new classification engine.

  • NYC Data Science Academy
    • United States
    • Higher Education
    • 1 - 100 Employee
    • Data Scientist / Teaching Assistant
      • Jun 2017 - May 2018

      • Coached full-time data science bootcamp students. • Web scraped faculty, and staff contact information from top universities for the use of target marketing • Conducted sentiment analysis and Latent Dirichlet Allocation topic modeling to build an automated customer complaint classification/response chatbot using Yelp’s dataset of 4.7 million reviews. • Explored customer preferences and devised a search engine from ground up by scraping over 70,000 reviews on Influenster.com and performed data cleaning by Python Scrapy, Pandas, Numpy, and Scipy. • Collaborated with a team of 4 utilizing multiple linear regression with regularization, random forests, and gradient boosting machine models on a dataset of 27 features across 3 million properties in the greater Los Angeles area to predict errors in Zillow’s pricing algorithm. • Built an RShiny app with maps and other diagnostic visualizations showing the locations, user ratings, and prices of Airbnb listings in NYC. • Participated the immersive Data Science program, including 400+ hours of intensive training using Python and R for advanced data visualization and machine learning. • Applied project experience with machine learning, natural language processing (NLP), advanced statistics, and big data computing platforms (Hive/Hadoop/Spark) Show less

  • Market Probe
    • Market Research
    • 100 - 200 Employee
    • Consultant at Customer Research Department
      • Jun 2014 - Aug 2014

      • Provided solutions with research methods to discern blind spots and boost competitiveness • Executed focus groups, friendship workshops and family interviews for Beijing Guangmang Imaging Co., Ltd.'s children film project • Managed a team of six people in fieldwork department to distribute questionnaires, and compiled survey results • Surveyed China's 12th five-year plan, analyzed provincial policies and wrote synopses for the Government of Jinan City • Provided solutions with research methods to discern blind spots and boost competitiveness • Executed focus groups, friendship workshops and family interviews for Beijing Guangmang Imaging Co., Ltd.'s children film project • Managed a team of six people in fieldwork department to distribute questionnaires, and compiled survey results • Surveyed China's 12th five-year plan, analyzed provincial policies and wrote synopses for the Government of Jinan City

  • Wenlin Education
    • United Kingdom
    • E-Learning Providers
    • 1 - 100 Employee
    • English Teacher / Tutor
      • Apr 2012 - Aug 2013

      • Instructed a 20-person class once a week, marked exam papers and offered one to one consulting • Directed team’s efforts to compile vocabulary 7000 booklets and handouts for senior high students by creating codification SOP; resulted in increased proficiency • Perceived the student’s obstacles and offered alternative teaching strategy, which made her obtain 27 points improvement on the final examination • Instructed a 20-person class once a week, marked exam papers and offered one to one consulting • Directed team’s efforts to compile vocabulary 7000 booklets and handouts for senior high students by creating codification SOP; resulted in increased proficiency • Perceived the student’s obstacles and offered alternative teaching strategy, which made her obtain 27 points improvement on the final examination

Education

  • New York University
    Master’s Degree, Management Information Systems, General
  • National Chiao Tung University
    Bachelor’s Degree, Management Science
  • Tokyo International Japanese School
    Certificate, Japanese

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