Peter L Yeung is a high-skilled expert, that works in Publicis One as a Associate Director - Analytics and Insights since 2016. This person gained professional experience in more than five positions at different companies. Peter L Yeung went to the The Johns Hopkins University and received education from 2010 to 2012. This expert has these qualifications: Mit - the Analytics Edge - Verified Certificate, Duke - Managing Big Data With Mysql, and Data Science: Data To Insights. Washington, DC is the area, where the professional was known to settle. Peter's e-mail and phone can be easily accessed through this website by request.
Name variants:
Petr Yeung,
Pete Yeung,
Petie Yeung,
Petey Yeung
Last updated Jun 12, 2024
Contact Information
Last Update
Jul 13, 2022
Email
pe**@verizon.com, pe**@gmail.com, pe**@live.com
Location
Washington, DC
Company
Publicis One
Workplace
Associate Director - Analytics and Insights
Work History
Associate Director - Analytics and Insights
Accounts: Citibank, Walmart, NBA
Feb 2016 — Aug 2018
Manager - Global Business Intelligence
195 Broadway, New York, NY 10007
► Serviced PepsiCo as part of the OMD Global team.
► Developed strategies to implement efficient ROI based media mix investments on a global scale
► Managed and optimized information syst...
Jun 2014 — Jan 2016
Analyst - Advanced Analytics
► Created and applied quantitative solutions in helping global clients achieve an optimal return on their marketing investments
► Quantified the return on marketing channels and campaigns ...
2013 — 2014
Research Analyst - Market Research
► Conducted in-depth data analyses using traditional and advanced statistical methods for customer segmentation, brand health tracking/analysis, sales/demand forecasting, and general market ...
2009 — 2012
Education
2010 — 2012
2005 — 2009
Occupations
Executive
Manager
Deputy Director
Marketer
Advertising Professional
Operations Manager
Deputy Manager
Chief Executive
Advertising Sales Agent
Skills
Market Research
Marketing Analytics
Statistical Modeling
Marketing Mix Modeling
Econometric Modeling
Forecasting
Statistics
Spss
Sas
Digital Marketing
Survey Methodology