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Revenue Analytics at NVIDIA
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
15+ years analytics experience in developing and driving scalable, actionable, and revenue-driven AI/ML solutions. Specialize in leveraging data science capability onto complex business settings to develop data-driven decision making and business strategy.
University of Connecticut
Master's degree, Business Analytics and Project Management
January 1, 2013 – January 1, 2014
Chulalongkorn University
Bachelor of Engineering (B.Eng.), Industrial Engineering
January 1, 2006 – January 1, 2010
NVIDIA
Manager, AI Data Ops, Revenue Analytics
May 1, 2020 – Present
San Francisco Bay Area
NVIDIA
Data Scientist, Digital Marketing
March 1, 2017 – May 1, 2020
San Francisco Bay Area
NVIDIA
Data Analytics Consultant, Digital Marketing
July 1, 2016 – March 1, 2017
San Francisco Bay Area
PwC
Data Analytics Consultant, Forensic Technology Solutions
March 1, 2015 – June 1, 2016
Greater New York City Area
University of Connecticut
Business Analytics Graduate Student
January 1, 2013 – January 1, 2015
Hartford, Connecticut Area
Seagate Technology
Production Analyst
January 1, 2010 – January 1, 2012
Tableau Desktop 9 Qualified Associate
Tableau
June 24, 2026 – Present
Data Science Associate (EMCDSA)
Dell EMC
June 24, 2026 – Present
Academic Achievement, Merit-Based Scholarship
University of Connecticut
June 24, 2026 – Present
Merit-Based Member, "Best in Business"
Beta Gamma Sigma
June 24, 2026 – Present
SAS Certified Base Programmer for SAS 9
SAS
June 24, 2026 – Present
Practical Machine Learning
Johns Hopkins Bloomberg School of Public Health
June 24, 2026 – Present
Developing Data Products
Johns Hopkins Bloomberg School of Public Health
June 24, 2026 – Present
Regression Models
Johns Hopkins Bloomberg School of Public Health
June 24, 2026 – Present
Statistical Inference
Johns Hopkins Bloomberg School of Public Health
June 24, 2026 – Present
Reproducible Research
Johns Hopkins Bloomberg School of Public Health
June 24, 2026 – Present
Exploratory Data Analysis
Johns Hopkins Bloomberg School of Public Health
June 24, 2026 – Present
The Data Scientist’s Toolbox
Johns Hopkins Bloomberg School of Public Health
June 24, 2026 – Present
An Introduction to Interactive Programming in Python
Rice University
June 24, 2026 – Present
Getting and Cleaning Data
Johns Hopkins Bloomberg School of Public Health
June 24, 2026 – Present
R Programming
Johns Hopkins Bloomberg School of Public Health
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career progression from Data Analytics Consultant to Manager, AI Data Ops, Revenue Analytics at NVIDIA, along with experience at PwC, indicates adaptability and a drive for growth. The diverse certifications in data science, programming, and analytics tools suggest a continuous learning mindset. The role as 'Manager, AI Data Ops, Revenue Analytics' aligns well with a senior data analyst role, demonstrating experience in leveraging data for business strategy and managing data intelligence platforms. The breadth of skills and experience in different analytical contexts (marketing, revenue, forensic) suggests a versatile professional who can integrate into various team structures.
Soft Skills & Operational Fit
The candidate's experience leading teams and managing end-to-end analytics frameworks suggests strong leadership, project management, and strategic thinking. The description of accelerating buyer journeys through AI-driven insights implies a results-oriented and innovative mindset. However, without psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.