“The instructor taught things we could not learn elsewhere nor easily find in mainstream
non-academic books on the subject. I found their knowledge
and passion invaluable.”
-Class of 2021 Program Survey.
Master of Science in Analytics Faculty & Capstone Project Coaches
Dr. Je’Anna Abbott
Ph.D. University of Houston
JD in International Finance & Economic Law
MS Analytics, Texas A&M University
MBA University of Chicago
MHM (Master in Hospitality Management) University of Houston
BA Austin College
ANLY 620: Strategic Analytics
- Hospitality Law and Ethics
- Conflict Management
- Human Resources/Legal
- Reconciliation After Trust Violations
- Social Responsibility
- Data Science/Analytics
MS, Analytics, Texas A&M University
BS, Business Administration, University of North Carolina at Chapel Hill
Ivan Arrington is passionately analytical. Currently, he is an Associate Director of Global Insights at The Clorox Company in Durham, NC, guiding consumer research for their cosmetics products. Ivan spent nine years at Butterball, LLC, leading market research and consumer innovation. Prior to Butterball, Ivan worked for Information Resources, Inc. (IRI), a leading CPG research firm, for ten years. At Butterball, Ivan invented the Butterball Blueprint, an insights-driven selling platform for holiday products and launched the Farm-to-Family by Butterball brand. At IRI, Ivan led a team of analysts overseeing the research needs for mid-sized CPG companies.
Dr. Jeremiah Green
Associate Professor of Accounting
Ph.D. University of North Carolina-Chapel Hill
BS/MS of Accountancy, Brigham Young University
BUAD 689: Financial Analytics
- Empirical capital markets research focused on the use of accounting information
- Hedge funds, equity & debts analysts, auditors, managers, the business press & trading strategies
Dr. Mark Hartmann
Ph.D. Operations Research, Cornell University
MS Operations Research, Cornell University
BES/MS Johns Hopkins University
Dr. Hartmann lives with his wife and two retired racing greyhounds; they are all active in a local greyhound adoption group. The youngest two of their four children are sophomores in college. When traveling, he visits independent record stores to add to his extensive CD collection. He also enjoys falling asleep on the couch watching sports.
STAT 657: Advanced Programming using SAS
- Optimization Modeling
- Integer Programming
- Combinatorial Optimization
Dr. ‘Jon (Sean) Jasperson
Assistant Dean of Learning Transformation & Academic Technology
Clinical Associate Professor
Ph.D., Florida State University
Master of Accountancy, Brigham Young University
BS, Brigham Young University
Dr. Jasperson enjoys reading especially historical fiction, biographies, and juvenile fiction, logic puzzles, cooking breakfasts, and spending time with family.
ANLY 615 (formerly known as ISTM 615): Business Database Systems
- Information technology adoption and use
- Information systems implementation
MS Analytics, Texas A&M University
BS Geography, Louisiana State University
A 20+ year veteran of Data, Database Administration, Programming (Started with BASIC on a VIC 20) and GIS/Remote Sensing. Currently, a Data Scientist and BI Architect for a Fortune 500 company in the Oil and Gas industry. In his spare time he enjoys traveling with his wife on mission trips and visiting Disneyland and Walt Disney World. He is a professional photographer as well.
MS. and Ph.D. in Statistics, Virginia Polytechnic Institute and State University
BS with Honors in Computer Science from Texas A&M University-Commerce
Dr. Jones worked in industry for a number of years before joining academia. He was a Baldrige Award Examiner, an elite group of leaders who help drive organizational performance excellence across the country. Dr. Jones enjoys sailing, motorcycles, and salsa dancing.
STAT 656: Applied Analytics Using SAS Enterprise Miner
ISTM 601: Fundamentals of Business Programming using Python, Alpha Vantage Stock Market API and the Google Cloud
Capstone Project Coach
- Applied Statistics
- Statistical Computing
- Data Mining/ Machine Learning
- Artificial Intelligence
- Artificial Neural Network
Dr. Kendra Mhoon
Ph.D. University of Texas
MS Texas A&M University
BS Grinnell College
Using Statistics she has had the opportunity to immerse herself in the transportation industry, the behavioral sciences, and nutrition. While doing research, she has continued to educate others. “My philosophy of teaching is based on a belief that learning needs to be student centered and that students need to be equal partners in the learning process.” Her role involves using her expertise to put the necessary resources in the hands of the students or more likely to be sure that her students are well equipped to find and evaluate the resources they need to answer their questions.
ANLY 626 (Formerly known as STAT 626): Methods in Time Series Analysis
- Utility of linear mixed models
- Markov modeling in analyzing medical and behavioral intervention data with an emphasis on multiple time points
JD Harvard Law School
MS Analytics, Texas A&M University
BA History and Government, University of Texas at Austin
Minor: Eastern European Studies
Pablo Ormachea is an analytics leader who specializes in designing and executing on data-driven strategy. He strives to build effective, repeatable, and scalable processes that deliver meaningful results quickly. He holds degrees from Harvard (JD), Texas A&M (MS in analytics), and UT (BA, double major and double minor) — winning several prizes along the way for his innovative quantitative work – and has served as a TAMU graduate student capstone coach since 2016. Put simply, if you have data, he knows how to leverage it to maximize the return on assets across the company.
Pablo developed his data expertise while a postdoctoral scholar at Baylor College of Medicine’s department of neuroscience, where he designed big data projects and administered over $1m in awards for research at the intersection of crime, legal policy, and neuroscience. He honed it by leading data science consulting teams for Fortune 100 companies relying on his expertise in forecasting and applied machine learning. Today, Pablo he applies it as head of analytics at Pendrick Capital partners, a health care financial services company with an extensive portfolio that spans the nation.
Pablo also excels at building and developing teams that can leverage complex data to deliver pragmatic solutions that affect the bottom line. Under his direction, they have developed and implemented industry-leading risk, fraud, and cash flow predictive models using machine learning and deep learning techniques. These models have profitably approved hundreds of millions in high risk, subprime financing. His teams have also developed best-in-class self-service dashboards for all levels of leadership, from executives to operations and sales staff.
MS Analytics, Texas A&M University
BBA Business Administration, St. Joseph’s College of Commerce (India)
Ronald has a global senior leadership background in driving business operations, executing operational strategies and deploying critical systems into multinational industries and market spaces. High-capacity management experience in multi-project delivery, change management, risk mitigation, process design and financial analysis in growth-oriented business environments. He enjoys playing tennis.
Dr. Arun Sen
Ph.D. Penn State University
MS Penn State University
M.Tech. Calcutta University
BS Bhagalpur University, India
Arun Sen is a Professor and was a Mays Research Fellow (2002-2006) in the Department of Information and Operations Management at Texas A&M University. Prior to joining Texas A&M, he was an Assistant and an Associate Professor in the Department of Management Science, University of South Carolina. He has published in several journals such as MIS Quarterly, Information Systems Research, Communications of the ACM (CACM), Decision Sciences, IEEE Transactions on Systems, Man and Cybernetics, IEEE Transactions of Software Engineering, IEEE Transactions on Engineering Management, Information Systems, Intl. Journal of Man-Machine Studies, EJOR, Computers and OR, Decision Support Systems, Journal of MIS, Omega, Journal of Bio-Medical Informatics (JBI) and others.
BUAD 689: Data Warehousing
- Decision support systems
- Model formulation tools
- Database management
- Data warehouse
- Web analytics
- Web mining
Dr. Amalesh Sharma
Assistant Professor of Marketing
Ph.D. Marketing, Georgia State University
MS Managerial Science, Georgia State University
MS Business Economics, Georgia State University
PGDM Marketing/Finance, ITM Business School, Navi Mumbai, India
BS Physics University of Delhi, India
Amalesh Sharma is an Assistant Professor of Marketing at the Mays Business School at Texas A&M University. He is interested in studying the impact of firm and customer level strategies on firms’ performance. His substantive areas of interest include New Product Management, Marketing-Mix Decisions, M&A, Customer Management, and International Business.
BUAD 689: Predictive Analytics
- B2B (Buyer-Supplier relationship)
- Retailing & distribution
- Emerging markets
- Marketing distribution
Dr. Hari Sridhar
Center for Executive Development Professor
and Associate Professor
Ph.D., Marketing, Trulaske College of Business University of Missouri
MS Engineering Management, University of Missouri
BE Mechanical Engineering, R.V. College of Engineering, Bangalore, India
Hari is an expert in evaluating the effectiveness of firms’ marketing spending —a core responsibility of marketing managers. His research marketing mix analytics decisions and spans media, digital and business-to-business markets. Hari’s research has been published in Marketing Science, Journal of Marketing, Journal of Marketing Research, Quantitative Marketing and Economics, and Harvard Business Review, and featured in National Public Radio (NPR), Reuters Inc., FOX News, and Booz & Co. Hari recently published a book titled “Marketing Strategy: Based on First Principles and Data Analytics”. For his research contributions, Hari has received a Marketing Science Institute Young Scholar award and the Varadarajan Award for Early Career Contributions to Marketing Strategy Research.
MKTG 625: Marketing Engineering
- Digital and business-to-business markets
Barbara L. Thompson, P.E.
MS Data Analytics – Texas A&M University
BS Ocean Engineering – Texas A&M University
Ms. Thompson has 39 years of experience in the oil & gas industry including design, project management, business unit leader, business development and strategy. She began her fascination with data early in her career through the analysis of oceanographic data and its application to designing offshore structures. She works at Baker Hughes in Oilfield Equipment and performs part time consulting in data analytics for various customers including a non-profit that she co-founded, Dive Pirates Foundation. She was the Principal Investigator for ASME’s “STB-1-2020: Guideline on Big Data/Digital Transformation Workflows and Applications for the Oil and Gas Industry.”