Senior Data Scientist, Salt River Project
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Full stack data scientist that specializes in the application of high-power analytics tools to derive insight from large, complex and messy data sets that leads to productionalized data models. Experienced at translating management goals to actionable tasks leading to desired results.
University of California, Berkeley
Master of Information and Data Science
January 1, 2014 – January 1, 2016
Arizona State University
Bachelor of Science in Engineering, Industrial Engineering
January 1, 2001 – January 1, 2005
Salt River Project
Senior Data Scientist
July 1, 2024 – Present
Tempe, AZ · Hybrid
SDC (Statistics & Data Corporation)
Vice President, Data Insights & Automation
April 1, 2023 – July 1, 2024
SDC (Statistics & Data Corporation)
Senior Director, Data Insights & Automation
March 1, 2022 – April 1, 2023
SDC (Statistics & Data Corporation)
Director, Data Insights & Automation
December 1, 2019 – March 1, 2022
Symantec
Principal Data Scientist
September 1, 2018 – November 1, 2019
Tempe, AZ
AdviNOW Medical
Director of Data Science
February 1, 2017 – August 1, 2018
Scottsdale, AZ
American Express
Manager, Fraud Risk Management
August 1, 2014 – February 1, 2017
Phoenix, AZ
American Express
Senior Business Analyst
November 1, 2010 – August 1, 2014
Phoenix, AZ
American Express
Senior Industrial Engineer
March 1, 2006 – November 1, 2010
Phoenix, AZ
Tourist Concierge
April 1, 2016 – May 1, 2016
Capstone project for MIDS program. Created a tourist concierge that would recommend countries that you may enjoy based on user input. Also foretasted the amount of danger that could be expected in the country in the upcoming week, month and quarter.
Visualizing Global Electricity
August 1, 2015 – September 1, 2015
The goal of this visualization was to show the global trends in production and consumption of electricity over time.
A/B Testing of Visualizations versus Static Images
April 1, 2015 – May 1, 2015
We tested the idea that people could gleen and process more information using an interactive visualization of data versus looking at a static image of the same data. Used Tableau and Mechanical Turk for the project.
Predicting New Agreeable Sources of Media
April 1, 2015 – May 1, 2015
Created a tool that allowed users to select a media source and a topic on which they enjoyed the way the media source covered it. Using NLP algorithms, the tool would recommend other media sources that covered that topic in a similar way.
Dataiku ML Practitioner
Dataiku
June 24, 2026 – Present
Dataiku Developer
Dataiku
June 24, 2026 – Present
Dataiku Advanced Designer
Dataiku
June 24, 2026 – Present
Dataiku Core Designer
Dataiku
June 24, 2026 – Present
Dataiku MLOps Practitioner
Dataiku
June 24, 2026 – Present
Six Sigma Green Belt
American Express
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning industrial engineering, fraud risk management, and data science leadership across various industries (finance, cybersecurity, healthcare). This breadth of experience suggests adaptability and a willingness to tackle different types of problems. The progression from individual contributor to senior leadership roles, including founding a department, indicates ambition and a proactive approach. The target role of 'Data Analyst' seems to be a step down from their recent 'Vice President, Data Insights & Automation' role, which might indicate a mismatch in career trajectory or a desire for a more focused technical role. However, their project diversity and skill set align well with data-driven environments.
Soft Skills & Operational Fit
The candidate's experience in founding a department, hiring teams, and implementing SOPs suggests strong leadership, organizational, and operational management skills. Their work in customer-facing roles (e.g., presenting at conferences, working with internal/external customers) indicates good communication and stakeholder management abilities. The focus on reducing manual effort through automation points to an efficiency-driven mindset.