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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/or professional experience in predictive modeling includes Exploratory Data Analysis, Multiple Linear Regression, General Linear Modeling, Logistic Regression, ARIMA Modeling (Time Series Forecasting), Classification and Regression Trees, Support Vector Machines, KNN, Principle Component Analysis, Exploratory Factor Analysis, variable selection, transformation, and validation methods.

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

Work History

October 2015Present

Business Strategy Manager, Strategy and Portfolio for HPE Servers

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 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 (TAM) in the server technology industry
• Provide insights into market investment decisions and identification of opportunities and risks in HPE 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
• 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.

Education

20152017

Master of Science in Predictive Analytics

Northwestern University

Completion Date: March 2017 (part-time)

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)
• Deep Learning (R)
• Graduate Capstone (R)

20122015

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

Certifications

2016Present

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.

2016Present

Predictive Modeling Using Logistic Regression

SAS Institute

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

2016PRESENT

SAS JMP Software: Data Exploration

SAS

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

Mar 2015Sep 2016

Google Analytics Individual Qualification (IQ)

Google

Demonstration of proficiency in Google Analytics.

2015PRESENT

Introduction to R

DataCamp

Introduction to R.

2009Present

The Dale Carnegie Course: Effective Communication and Human Relations

Dale Carnegie Training

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