Vu Pham

Data Scientist, Strategist, and Storyteller with 20+ years of experience, ready to help your business

Vu Pham is an accomplished data scientist and business strategist with over 20 years of experience in the field.1 He currently serves as a Data Science Consultant and Partner at Chameleon Collective, where he leverages his extensive expertise to help organizations solve complex business problems through data-driven approaches.1

Background and Education

Vu holds an MBA in Decision and Information Analysis from the Goizueta Business School at Emory University. This educational background has equipped him with a strong foundation in both business strategy and data analytics.

Professional Experience

Throughout his career, Vu has worked across various industries and high-profile organizations, including:

Green Bay Packers
Dataca.sh
CloudTags
360i
Mercer University
IBM

His roles have focused on marketing, analytics, and technology, allowing him to develop a diverse skill set that combines business acumen with technical proficiency.1

Expertise and Skills

Vu Pham's areas of expertise include:

Data collection, analysis, and transformation
Business problem-solving
Metrics determination for company success
Implementation of data collection, aggregation, cleansing, and visualization
Development of custom machine learning and predictive algorithms
Data interpretation and stakeholder communication1

Notable Achievements

His work was featured in AdWeek as one of its 2019 Media Plan of the Year winners.1
He has taught data science courses to MBA students at Mercer University's Stetson School of Business and Economics.1
Vu has also instructed bootcamp students at General Assembly's Atlanta campus.1

Current Role at Chameleon Collective

As a Data Science Consultant and Partner at Chameleon Collective, Vu Pham works with organizations to drive results at the intersection of data analysis and marketing. He is known for his ability to effectively communicate complex analysis results to both technical and non-technical stakeholders, making him a valuable asset in bridging the gap between data science and business strategy.1