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Enthusiastic, driven business professional enhanced by a proven track record in predictive analytics, strategic analysis, and PowerPoint creation for executive-audiences. Aptitude abounds as large scope thinker, problem solver, and dedication to predictive data science.

Professional and academic experience in predictive modeling include machine learning with Generalized Linear Models (GLM), Random Forests, Gradient Boosting Machines (GBM), various Artificial Neural Network (ANN) architectures, k-NN, and multivariate time series forecasting with Vector AutoRegression (VAR) or Vector Error Correction Models (VECM).

Preferred analytics software include R,, and SAS JMP.

Work experience

March 2017Present

Data Scientist, Digital Enablement & Innovation

Hewlett Packard Enterprise

I develop solutions with the Digital Enablement & Innovation team under HPE Global Operations. My scope of work includes developing, operationalizing, and/or deploying machine learning, predictive models on very large datasets from across the enterprise (e2e) to enable better business decision-making for business users. 

I am also lead adviser for methodology, research design, model checking and validation within the HPE team.

Areas of research include: 

• Machine learning used to predict the expected wait time a sales order has from creation to the manufacturing trigger, prior to the availability of all components. 
• Machine learning used to predict individual sales order milestones, from the time a customer initiates a sales order, manufacturing begins and ends, and the sales order is sent to the hub within outbound logistics.
• Operationalizing econometric models and designing neural network architectures for forecasting high-value commodities within supply chain procurement.
• Statistical analysis to identify highly variable behavior contributing to early / late product delivery within order management / supply chain analytics.

October 2015February 2017

Business Strategy Manager, HPE Servers Strategy

Hewlett Packard Enterprise

I provided business strategy development and implementation expertise for all business units, leadership and support teams within HPE Servers (≈$15B). Responsible for supporting development of 3-year servers strategy and 3-year server software strategy plans for the business by developing analysis of the market, competition, and strategic options that lead to competitive advantage.

Analysis and problem-solving work include:

• Provided insights into server-market investment decisions and identified opportunities and risks through the use of competitive analysis and quantitative analysis specific to executive forums such as strategic programs, strategy development workshops, and business unit-level requested analysis.
• Prototyped HPE's first "On-Premise & Cloud Economic TCO Calculator". Gained positive, mass attention from executive leadership across the business. Resulted in a larger project spanning across marketing and solutions engineering.
Developed Total Available Market (TAM) models used for executive-level decision making into server technology industry.

Jun 2015October 2015

Predictive Modeler (MBA Intern), NPS Economics

Hewlett-Packard, Inc.

I developed predictive models for the Net Promoter Score (NPS) System using NPS data, financial data, customer surveys, market data, and economic data. Our team created several models which predicted a global revenue impact of x.x%. Analyses and problem-solving work not limited to cleaning data for statistical analyses, building linear, nonlinear, and ARIMA models or supporting the businesses consumer research initiatives w/ statistical analyses.

Jul 2014Jun 2015

Business Development 

Darley Consulting, Inc.

DCI is a family-owned consulting firm in the oil and gas and maritime industries that specializes in leadership training for medium to enterprise-sized businesses. I engaged in various capacities to develop, close, and operationalize new business opportunities. Clientele includes Ensco, Technip, Diamond Offshore, and several others.

Sep 2010Aug 2014

Avionics Specialist

United States Air Force

I diagnosed and corrected malfunctions for both major and component assemblies using schematics and wiring diagrams, integrated test systems or other measurement equipment for the F-15 and F-16 fighter aircraft.

(2011-2013) Competed under the World Class Athlete Program (WCAP)



Graduate Certificate in Data Science

Northwestern University

Coursework includes applied optimization and simulation modeling, advanced modeling techniques (cont'd studies in machine learning), big data management, and analytics consulting.


Master of Science in Predictive Analytics

Northwestern University

The master of science in predictive analytics coursework focuses on regression and multivariate analysis, Generalized Linear Models, machine learning, time series analysis and forecasting, and introductory coursework into deep learning to include supplementary coursework.


Master of Science in Business Management

Embry-Riddle Aeronautical University

Thesis: Major Emergency Management Competency of Offshore Installation Managers in the Gulf of Mexico. The thesis is a 56-page document with a bibliography encompassing 21 titles. In this mixed-methods research study, leadership traits were recorded in a controlled environment and analyzed using traditional statistical methods to uncover patterns among various occupational-related demographics.

(2014) One of two ERAU scholarship recipients for displaying successful academic achievement.

Examples of coursework include qualitative, quantitative, and mixed methods research, macroeconomic analysis, planning & execution of strategy, management science, and applied regression analysis.



Predictive Modeling Using Logistic Regression

SAS Institute