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Enthusiastic, driven business professional enhanced by a proven track record in competitive analysis and advanced analytics. Aptitude abounds as large scope thinker, problem solver, and passion for predictive and data sciences.

Academic and/or professional experience in predictive modeling includes Exploratory Data Analysis, Principle Component Analysis, Multiple Linear Regression, General Linear Modeling, ARIMA Modeling (Time Series Forecasting), Regression Tree Modeling, Random Forests, Artificial Neural Networks, Support Vector Machines, and other Machine Learning methods.

Applications and programming include R, Microsoft Excel, and SAS JMP. I also have basic experience with SAS and SQL and visualizing data in Tableau.



Master of Science in Predictive Analytics

Northwestern University

Completion Date: March 2017 

Examples of 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
• Data Visualization (R)
• Practical Machine Learning (R)
• Introduction to Deep Learning (Python)
• Graduate Capstone (R)


Master of Science in Business Management

Embry-Riddle Aeronautical University

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

Examples of coursework include:

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

Work History

February 2017Present

Data Scientist, Supply Chain Analytics and Digital Innovation Team

Hewlett Packard Enterprise

Currently transitioning into this new position. 

October 2015February 2017

Business Strategy Manager, Strategy, Planning, and Operations

Hewlett Packard Enterprise

I provide business strategy development and implementation expertise for all business units, leadership and support teams within the Data Center Infrastructure Group (DCIG). Responsible for supporting development of 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:

• 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
• Competitive analysis and market sizing in the server technology industry
• 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
• Collaborate with internal stakeholders, team members, and external partners to gather data and supporting insights

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 using 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
• Collaborate 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, veteran, consulting firm in the oil and gas and maritime industries who specializes in leadership training for medium-sized and large corporations. Consultation includes leadership training for key personnel on offshore oil platforms, command center training, writing emergency policies, and leadership assessments. 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.
• Strategically used mass communication such as advertising, web marketing, and public relations to target specific audiences within the Houston marketplace.



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. 


SAS JMP Software: Data Exploration


Focusing on using SAS JMP to manage, analyze, and explore data.

Mar 2015Sep 2016

Google Analytics Individual Qualification (IQ)


Demonstration of proficiency in Google Analytics.


The Dale Carnegie Course: Effective Communication and Human Relations

Dale Carnegie Training

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