Chen Wang Email & Phone Number
Who is Chen Wang? Overview
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Chen Wang is listed as Principal Data Scientist - Capital One at Capital One, based in New York, United States. AeroLeads shows a matched LinkedIn profile for Chen Wang.
Chen Wang previously worked as Principal Data Scientist at Capital One and Senior Data Scientist at Capital One. Chen Wang holds Master Of Science - Ms, Business Analytics from Columbia University.
Email format at Capital One
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About Chen Wang
I have an innovative spirit and a history of solving complex problems, and an affinity for uncertainty and ambiguity. In the year 2020, I performed quantitative research at Columbia Business School on the impact of immigrants on entrepreneurship in the United States; analyzed economic trends for the New York City Comptroller; and defined Lenovo’s value proposition to employees, recommended hiring targets and employee relocation strategy, and built a market intelligence tool for HR to independently conduct sentiment analysis. I’m looking forward to applying my skills to many contexts and challenges, especially in the realm of tech, healthcare, and consulting.Skills: Python, R, Tableau, SQL, STATA, consulting, statistics, product management, design thinking, digital marketing, strategic capability analysis, scala, spark, people analytics, entrepreneurship, quantitative research, data processing, data visualization, decision science
Listed skills include R, Git, Personal Development, Datastructure, and 25 others.
Chen Wang's current company
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Chen Wang work experience
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Senior Data Scientist
Associate Data Scientist
Data Analyst Intern
Work with a team for the 2020 headcount projectAnalyzed and visualized (using Tableau) the band and job family distribution among different cost jurisdictions and advised on how to relocate talents among existing sites.Combined culture issue and policy issue with external Talent Neuron data to provide practical recommendations for 2020 global recruiting.
Research Intern
Collect detailed career data via a census of LinkedIn profiles for individuals who began their careers across a selected sample of industries in the years 2005- 2009. By using detailed variation across industries that range from high to low exposure to the deleterious effects of the financial crisis, we are able to identify the impact of a recession across the vulnerability from workers to losing their jobs or finding new jobs during the recession.Combined and aggregated 30+ datasets using Pandas in Python from four main sources (Business Patterns, Start-up Cartography, H-1B applications, CBSA) to research on how skilled immigrants impact regional entrepreneurship Ran regressions (OLS, Fixed Effect, 2SLS) in R and STATADevised a customized dashboard using Tableau to visualize trends over time and regional variations
Data Analyst And Statistician Intern
- Conducted research for weekly newsletter on macroeconomic indicators at the city level (eg, homelessness, real estate market, H-1B suspension, minority/women-owned business enterprises, power usage, bankruptcy, etc) - Retrieved and integrated data from disparate surveys & generated descriptive statistics using Excel and STATA- Restructured and analyzed the city’s initiative report and proposed budget adjustments
Market Intelligence Analyst (Capstone Project)
- Developed intelligence tool for HR to capture the sentiment from human capital market of any topic they care - Web scraped 100K reviews from Glassdoor, Indeed, Twitter, and Chinese equivalents, of 10 tech companies using Python & R; used Clustering to filter foreign languages; exerted StandfordCoreNLP and Regex to extract phrases- Launched visualization and generational analysis of job preferences using Plotly based on 300 survey responses designed on SurveyMonkey and gathered from Amazon Mechanical Turk - Proposed a complete EVP profile for targeted recruitment at Millennial and Gen Z in the global talent market
Analytics In Python: Course Assistant(Mooc)
Consultant Intern
- Researched for the individualized healthcare and healthcare analytics project co-organized by Shanghai government and Roche - Prepared for IPIF 2019, translated the Forum Brochure and wrote media articles for public affairs- Monitored the policies and complete monthly policy intelligence report for the clients including Roche, Sanofi
Business Analyst Intern
- Applied SQL to query over 60,000 sales records for Kotex and competing brands- Implemented Python to process, analyze, and visualize data to find customers with high value and purchasing frequency for market analysis; built user profiles applying look-alike algorithms to discover features of core users- Translated data and KPI’s into recommendations for Kotex to improve product selection and marketing, contributing to an online-offline marketing activity which increased the number of stores with shelf–sales by 412% and Gross Merchandise Volume (GMV) by 101%
Chen Wang education
Master Of Science - Ms, Business Analytics
Master Of Science - Ms, Business Analytics
Bachelor'S Degree, Economics( Mathematical Economics And Mathematical Finance)
Online Coding Bootcamp, Computer Software Engineering
Frequently asked questions about Chen Wang
Quick answers generated from the profile data available on this page.
What company does Chen Wang work for?
Chen Wang works for Capital One.
What is Chen Wang's role at Capital One?
Chen Wang is listed as Principal Data Scientist - Capital One at Capital One.
Where is Chen Wang based?
Chen Wang is based in New York, United States while working with Capital One.
What companies has Chen Wang worked for?
Chen Wang has worked for Capital One, Rocket Mortgage, Lenovo, Columbia Business School, and Nyc Office Of The Comptroller.
How can I contact Chen Wang?
You can use AeroLeads to view verified contact signals for Chen Wang at Capital One, including work email, phone, and LinkedIn data when available.
What schools did Chen Wang attend?
Chen Wang holds Master Of Science - Ms, Business Analytics from Columbia University.
What skills is Chen Wang known for?
Chen Wang is listed with skills including R, Git, Personal Development, Datastructure, Self Confidence, Data Analysis, Productivity Improvement, and Microsoft Office.
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