Download PDF

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

Professional and academic experience in predictive modeling include Machine Learning with General Linear Modeling, Random Forests, gradient boosting concepts , Neural Network architectures, and Time Series Forecasting.

Preferred analytics tools include R, SAS JMP PRO, Flow, Microsoft Excel, to include exposure with SQL, SAS, and Python for common tasks.

Work experience

March 2017Present

Data Scientist, Analytics and Digital Innovation 

Hewlett Packard Enterprise

I develop solutions with the Analytics & Digital Innovation Team under the Global Supply Chain Organization. My scope of work includes developing, operationalizing, and/or deploying real-time machine learning, predictive models on very large datasets from across the enterprise (e2e) to enable better business decision-making through real-time data analytics for business users. I am also lead advisor 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 line item has from creation to the manufacturing trigger, prior to the availability of all components. 
• Econometric modeling and experimentation of neural network architectures for forecasting commodity unit prices.
• Statistical analysis on highly variable behavior contributing to early / late product delivery (cycle time and process analysis)

October 2015February 2017

Business Strategy Manager, Strategy, Planning, and Operations

Hewlett Packard Enterprise

I provided business strategy development and implementation expertise for all business units, leadership and support teams within the Data Center Infrastructure Group (DCIG) (≈$18B). 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 market investment decisions and identification of opportunities and risks in server and infrastructure software markets through executive forums such as strategic programs, strategy development workshops, and ad-hoc analysis.
• Identified organic and inorganic growth strategies
• Competitive analysis and market sizing in the server technology industry
• Prototyped HPE's first On-Premise & Cloud Economic TCO Calculator. Gained positive, mass attention from executive leadership across the enterprise. 
• Advised business leaders through research, recommending high-level strategic initiatives, and developed solutions across the HPE Servers business units
• Created content and told stories with data with PowerPoint decks for Director, VP, and GM audiences.

Jun 2015October 2015

Predictive Modeler (MBA Intern), Quality Category Experience and Transformation (QCET)

Hewlett-Packard, Inc.

I created predictive models utilizing the Net Promoter Score (NPS) System, financial data, customer surveys, market data, and economic data. I was instrumental in the foundational NPS Economics research which became a larger focus for HP Quality (QCET). Our team created several predictive models which collectively predicted an enterprise-wide x.x% revenue increase.

Analysis and problem-solving work included:

• Consolidated and cleaned data to prepare for statistical analysis and data visualization
• Built models using linear and non-linear regression, adaptive regressive splines, ARIMA modeling, and other modeling techniques
• Performed statistical analysis and support on market research efforts
• Collaborated with internal stakeholders, team members, and external partners to gather data and supporting insights

Jul 2014Jun 2015

Business Development 

Darley Consulting, Inc.

DCI is a family-owned, consulting firm in the oil and gas and maritime industries who 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

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



Graduate Certificate in Advanced Data Science

Northwestern University

Accepted into program. Enrolled for January 2018. 


Master of Science in Predictive Analytics

Northwestern University

Coursework include:

• Database System Design and Implementation 
• Math for Modeling 
• Statistical Analysis 
• Introduction to Predictive Analytics 
• Regression and Multi-Analysis 
• General Linear Models
• Time Series and Forecasting 
• Data Visualization 
• Business Leadership
• Practical Machine Learning 
• Introduction to Deep Learning 
• Graduate Capstone


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 was 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 statistical analysis was applied to find underlying patterns among various occupational-related demographics.

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

Examples of coursework include:

• Macroeconomic Analysis
• Applied Regression Analysis
• Management Science
• Plan & Execution of Strategy
• Qualitative, Quantitative, and Mixed Methods Research



Advanced Analytics in a Big Data World

SAS Institute

Focusing on theory, application, and deployment of popular machine learning models.


Oracle Database 12c: Introduction to SQL

Oracle University

Focusing on writing sub queries, combine multiple queries into a single query using SET operators and report aggregated data using group functions.


Predictive Modeling Using Logistic Regression

SAS Institute

Focusing on predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. 


The Dale Carnegie Course: Effective Communication and Human Relations

Dale Carnegie Training

Focusing on performing as a persuasive communicator, problem-solver and focused leader.