Jason Bryan Ballengee, PhD
**** **** ***., *** *** Dallas, TX 75204 *****.*********@*****.*** 972-***-**** (M)
Executive Summary
I am a PhD engineering researcher with a special focus on data. My interest in data analysis and
visualization dates back to my work for Exelon Nuclear and CPS Energy developing statistical models based
upon artificial neural networks to predict energy load and avoid electricity outages. This work included
developing prediction models and building numerous real-time visual monitoring tools to easily present
the information to plant engineers. I later fine-tuned my data analysis skills while earning an engineering
PhD at Vanderbilt University. During my PhD research I generated and analyzed large amounts of data
that were later incorporated into the numerous publications and presentations I gave. Most recently, I
have applied my data analytic expertise at sp3 nanotech, LLC to gather data and evaluate product
performance for a nano-based engine oil additive.
Relevant Experience
sp3 nanotech, LLC (Materials Scientist; April, 2013-Present)
After my PhD work, I joined a Dallas-based nanotechnology startup, sp3 nanotech, as its third employee.
sp3 was attempting to commercialize a nano-additive for lubricants. I was tasked with defining a testing-
regime, collecting and analyzing test results, and presenting my analysis to both internal and external
stakeholders.
Accomplishments
• Analyzed data and made data-driven recommendations regarding both product development and
customer implementation of sp3’s product line.
• Transformed raw data into easily visualized representations (charts, graphs, reports,
presentations, etc.) using low cost data analytic tools such as Excel.
• Proposed and implemented new production methods that synergistically boosted nano -additve
production speed by over 60-fold.
• Marketed nano-additive products in a customer-facing role, including presentations/pitches to
individuals in roles such as Vice President and Senior Scientist.
Vanderbilt University (Graduate Research Assistant, 2008- 2013)
My PhD research involved developing new polymer composite membranes for higher power output and
increased durability of hydrogen fuel cells – a technology that may one day displace the combustion
engine currently used in most automobiles.
Accomplishments
Designed, fabricated, and characterized new membranes, producing materials with higher
durability (over 50% longer) and ~100% higher power output in fuel cells.
Presented 5 technical presentations at various national conferences in addition to numerous
presentations on the Vanderbilt campus.
Authored 5 publications and an inventor on 2 patent applications.
Managed and supervised 3 undergraduate research projects.
Exelon Nuclear (Intern, 2007)
I worked on a team developing a proof-of-concept demonstration for the use of a neural network that
helped Exelon predict and avoid power plant equipment failures.
Accomplishments
• Developed several real-time data visualization models using Matrikon’s Engineering Work Station.
I was able to quickly learn the Matrikon product to effectively demonstrate this model.
• Successfully demonstrated the value of predictive data modeling to Exelon’s management.
CPS Energy (Intern, 2006)
I was tasked with improving the accuracy of the load forecasting model. I was able to significantly improve
the accuracy of the input data and generate a better neural network model.
Accomplishments
• Improved forecast of hourly energy usage in San Antonio service area by 50%.
• Used Visual Basic to develop an effective way to automatically track and display forecast
performance in MS Excel.
Education
Doctor of Philosophy, Chemical Engineering, 2013 – Vanderbilt University, GPA 4.0/4.0
Bachelor of Science, Engineering Science, 2008 – Trinity University, GPA 3.97/4.0
Relevant Skills
My primary skills are in the non-tool aspects of data analytics, including a strong understanding of
experimental design and mathematics, performing empirical research, and writing and presenting to both
engineering and business audiences. I also have direct hands-on expertise with many common
statistics/mathematics applications such as Minitab, Matlab, Excel, and Engineering Equation Solver.
Furthermore, I have demonstrated a quick ability to learn new tools.
Selected Activities
Forecaster, The Good Judgment Project (ranked as highly as 8 out of 500 participants) 2014-Present
English Teacher, Humanitarian Hand Charities 2014-Present
Vice President, National Society of Collegiate Scholars, Trinity 2006-2008
Trip Leader, Trinity University (plan, budget, and lead outdoor expeditions) 2006-2008
Community Liaison (similar to RA for Trinity dormitories) 2005-2006