Youmeng(Stella) Wang

Data Scientist at Teltech
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
New York City Metropolitan Area, US
Languages
  • English Professional working proficiency
  • Chinese Native or bilingual proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

5.0

/5.0
/ Based on 2 ratings
  • (2)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

LinkedIn User

I've had the unique privilege of working with Stella at Teltech, and witnessed firsthand the immense growth she has gone through. Developing from Data Analyst to two more echelons up into a full-fledged Data Scientist, she has demonstrated great proficiency in the realm of Machine Learning and ELT processing, having built upon the fundamentals of her masterful SQL and Python skills, to become an invaluable asset to both the company and the team. It is through these same high decorations that I can confidently say Stella is an expert in her craft, and the magnitude of talent that she brings to any company is intangible.

Landry EDI

I worked with Stella in the same company, sometimes on the same project and sometimes on my own project asking her for her point of view. She is very curious, detail oriented, a great thinker and always willing to help out and get involved; which makes her an exceptional data analyst. She has a passion for achieving highest goals and best solutions possible, and equipped with necessary skills to achieve them (solid understanding of math, statistics, programming languages and most importantly the ability to apply them to the real-world problems) . She aspire to become an excellent data scientist with more Machine Learning/AI knowledge. She is a fast learning and is developing skills necessary to achieve great results. I am very pleased and will cherish the moments I worked with Stella

You need to have a working account to view this content.
You need to have a working account to view this content.

Credentials

  • Looker Developer Bootcamp
    Looker
    Mar, 2019
    - Nov, 2024
  • Building Reports in Looker
    Looker
    Feb, 2019
    - Nov, 2024
  • Getting Started with LookML
    Looker
    Feb, 2019
    - Nov, 2024
  • SAS Certified Base Programmer
    Certification of SAS Base

Experience

    • United States
    • Telecommunications
    • 1 - 100 Employee
    • Data Scientist
      • Jan 2022 - Present

    • Senior Data Analyst
      • May 2020 - Dec 2021

      - Develop Machine Learning models to understand the behavior of trial users that lead to churn- Analyze high-value customers using K-means, hierarchical clustering, build users’ personas based on that- Perform analyses for company’s major apps to identify key areas of drop-off within users’ onboarding flow, find key featuresassociated with retention and user’s engagement; provide business suggestions to senior management based on data-Assist and conduct A/B testing for company products, define successful metrics and analyze testing results

    • Data Analyst
      • Jan 2019 - May 2020

    • United States
    • Retail
    • 700 & Above Employee
    • Marketing Analytics Analyst
      • Nov 2017 - Dec 2018

      - Provide analysis of customer engagement across QVC platforms and marketing channels- Perform deep-dive analyses and provide proactive insights based on the data- Work with large datasets using SAS, Tableau and SQL- Leverage customer and web analytics data to identify testing opportunities- Conduct analyses on data, including site traffic, click navigations, page performance, shopping behavior, and purchase conversion - Provide analysis of customer engagement across QVC platforms and marketing channels- Perform deep-dive analyses and provide proactive insights based on the data- Work with large datasets using SAS, Tableau and SQL- Leverage customer and web analytics data to identify testing opportunities- Conduct analyses on data, including site traffic, click navigations, page performance, shopping behavior, and purchase conversion

    • United States
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Data Scientist Intern
      • Jun 2017 - Nov 2017

      DS Team--- Real World Evidence & Medical Informatics- Extracted and manipulated tables from relational databases (AWS) using SQL; experienced in writing SQL queries; use SQL/SAS to transform voluminous data into desirable format (data manipulation); identify trends in data and link it to reality- Supported cross-functional team on accessing business opportunities, extracted related information from commercial claims data; performed statistical analysis (e.g. GLM) and segmentation to transfer data into business insights; generated data visualizations using Tableau; kept project documented, managed, and present formal written and oral deliverables

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Project
      • Dec 2016 - May 2017

      - Conducted descriptive analysis; designed and implemented semiparametric model (Ising model) on tenants and shopping center attributes to detect their relationship; applied segmentation based on several criteria (e.g. area, weighted matrix, store’s types) to further detect tenants’ relationship in United States Shopping Center- Discovered tenants’ relationships (competitors/subsidiary stores under same company) through data visualization; interpreted the analysis results and link it with the rules of creating tenants mix in the retail industry (shopping behavior of customers, competitive situation in U.S market) - Conducted weekly meeting with the client to keep him updated for research progress; created PowerPoint slides for the project, presented it to clients and Cornell faculty

    • United States
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Internship
      • Jun 2015 - Sep 2015

      - Compiled and updated business development data (e.g. revenue and investment in each city); conducted ad-hoc analysis on key market performance metrics (sales, sales rep performance evaluation, gross margin etc.) to support key decision makers- Created pivot tables and formulas to modify Excel spreadsheets to identify key factors that influenced increase in sales; extracted data from MS Access to Excel; drafted analytics report and utilized Tableau (BI tool) to generate data visualizations to support business decisions; presented analysis results to decision makers during internal meetings

Education

  • Cornell University
    Master’s Degree, Master of Professional Studies (MPS) in Applied Statistics
    2016 - 2017
  • Rutgers University-New Brunswick
    Bachelor's Degree, Mathematics and Statistics
    2014 - 2016

Community

You need to have a working account to view this content. Click here to join now