Profile
From an academic perspective, I completed in-depth training with respect to various quantitative and qualitative research methodologies. As a result, I am proficient in data exploration, pattern recognition, and analysis. Additionally, I have over five years of experience conducting intensive research within the information technology industry.
My Experience Offers Proven Benefits
Comprehensive industry knowledge assimilated from research involving such topics as information assurance and security; IT strategy formulation and business alignment; and, IT organization, structure, and governance.
Extensive analytical capabilities acquired from using quantitative procedures, including sample analysis, population testing, analysis of variance (ANOVA and MANOVA), canonical correlations, multiple regression modeling (linear, nonlinear, and logistic), and factor analysis.
Hands-on technical expertise attained from programming applications, developing databases, and performing systems integration.
Leadership skills gained from managing a U.S.A.F. maintenance branch consisting of 195 avionics specialists and a private sector software development team consisting of 30 engineers and support personnel.
Who I Am
Hello, my name is Dr. Michael D. Moss. I offer a unique blend of skills that includes information technology research, predictive/qualitative analysis, systems/software engineering, proposal writing, and business acumen. I have a doctoral degree (with distinction) in information technology with a specialization in information security. I also hold graduate degrees in applied economics (MA) and administrative organization & management (MPA). As such, I offer a combination of technical and analytical expertise.
What I Do
With increasing amounts of data becoming available from ever-expanding sources, companies wishing to thrive in the digital marketplace must focus on effectively utilizing their data to maintain a competitive advantage. I am passionate regarding the use of quantitative data to optimize a company’s decision-making process and facilitate its growth. To accomplish these goals, I find underlying patterns in data by developing classification, prediction, clustering, and regression models, using machine learning, econometrics, and statistical analysis.
Career Highlights
- Doctor of Philosophy (with distinction) in Information Technology with a specialization in Information Security
- Master of Arts in Applied Economics
- Master of Public Administration in Administrative Organization & Management
- Bachelor of Arts in English
- The Honor Society of Phi Kappa Phi
- Omicron Delta Epsilon, International Honor Society in Economics