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Enthusiastic, driven business professional enhanced by a proven track record in competitive analysis and advanced analytics. Aptitude abounds as objective-driven mentality, large scope thinker, and problem solver. 

Academic and professional experience in predictive modeling includes Exploratory Data Analysis, Multiple Linear Regression, No-Intercept Regression, Stepwise Regression, General Linear Modeling (Logistic Regression, Poisson Regression, and Survival Analysis), Time Series and Forecasting (ARIMA modeling), Principle Component Analysis, Exploratory Factor Analysis, and variable selection, transformation, and validation methods.

Computer/Programming Skills include Microsoft Excel, R, and SAS JMP. I also have basic programming experience with SAS and SQL and visualization with Tableau.

Work History

October 2015Present

Business Strategy Manager for HPE Servers Strategy and Operations

Hewlett Packard Enterprise

I provide business strategy development and implementation expertise for all business units, leadership and support teams within HPE Servers. Responsible for supporting development of the 3-year servers strategy plan for the business by developing analysis of the market, competition, and strategic options that lead to competitive advantage.

Analysis and problem-solving work include:

• Competitive analysis and market sizing in the server technology industry
• Provide insights into market investment decisions and identification of opportunities and risks in server and infrastructure software markets through executive forums such as strategy development workshops
• Identify organic and inorganic growth strategies
• Developed customer-facing analytical tool, important to specific customer segments
• Advise business leaders through research, recommending high-level strategic initiatives, and developing solutions across the HPE Servers business units

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 System (NPS System), financial metrics, consumer surveys, and economic factors. I created dozens of statistically significant multivariate models which predict an enterprise-wide 1.6% growth in revenue for every one-point increase of the NPS metric.

Analysis and problem-solving work include:

• Consolidate and clean data to prepare for statistical analysis and data visualization.
• Conduct statistical analysis to correlate the strength of relationships between customer experience, financial, and process measures.
• Built models with various advanced analytics methods to include: multivariate regression, ARIMA time series methods, curve-fitting, and other modeling techniques.
• Evaluate suitability of metrics and measures for analysis using variable and model selection tools.

Jul 2014Jun 2015

Business Development 

Darley Consulting, Inc.

DCI is a family-owned, veteran consulting firm in the oil and gas and maritime industries that specializes in SMB to Enterprise segments. DCI provides services in Major Emergency Management (MEM) training, Offshore Installation Manager (OIM) Assessments, Command Center Training (CCT), and leadership training. Clientele include: Ensco, Technip, Diamond Offshore, and several others.

Analysis and problem-solving working include:

• Researched market behavior and various publications to pinpoint opportunities within the oil and gas and maritime industries
• Produced intelligence reports and other related research to influence project direction and strategic objectives
• Engaged in various capacities to develop, negotiate, and close new business opportunities
• Experience in B2B marketing to include advertising, web marketing, and public relations to target specific audiences within the Houston marketplace



Master of Science (MS) in Predictive Analytics

Northwestern University

Coursework include:

• Math for Modeling (Python)
• Statistical Analysis (R)
• Introduction to Predictive Analytics
• Database System Design and Implementation (SQL)
• Regression and Multi-Analysis (SAS)
• General Linear Models (SAS)
• Time Series and Forecasting (R)
• Business Leadership
• Practical Machine Learning (R)
• Data Visualization (R)
• Marketing Analytics (Winter '17)
• Graduate Capstone (Winter '17)


Master of Science (MS) in Management

Embry-Riddle Aeronautical University

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



Oracle Database 12c: Introduction to SQL

Oracle University

Predictive Modeling Using Logistic Regression

SAS Institute

SAS JMP Software: Data Exploration

Mar 2015Sep 2016

Google Analytics Individual Qualification (IQ)


Introduction to R


The Dale Carnegie Course: Effective Communication and Human Relations

Dale Carnegie Training