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I am an enthusiastic, driven business professional enhanced by a proven track record in operationalizing machine learning models, strategy consulting, and PowerPoint creation for executive-audiences. I have led a number of projects in the IT industry addressing advanced analytics enablement for business users to support better decision making, high-level portfolio strategies, and digital transformation programs. My aptitude abounds as tenacious, problem solver, and sharp focus for engaging businesses to leverage predictive analytics.

Preferred analytics tools include Python, R,, Tensorflow, SQL, SAS JMP, AWS.

Specialties: order management analytics, supply chain analytics, upstream oil and gas analytics, customer analytics, digital transformation, competitive analysis, strategy consulting, and business development.

Work experience

June 2018Present

Data Science Consultant, Houston Innovation Hub


I am responsible for delivery on client-facing advanced analytics projects in the resources industry (chemicals, natural resources, oil and gas, and utilities industries) at the Houston Innovation Hub within the Accenture Applied Intelligence. Project-based analytics including but not limited to machine learning, deep learning, statistical analyses, data assessments, analytics & technical consulting, project or program solutioning, etc.

• O&G Upstream Predictive Maintenance - Supported an initiative focusing on creating and generalizing algorithms used to predict equipment failures on deepwater oil rigs. Project supported an award-winning client relationship.
• Healthcare AI - Supporting the build of an AI asset in the clinical health space to review clinical documentation (building AI & ML solutions, AI & ML automation, code standardization).
• O&G Upstream Predictive Maintenance - Supported an initiative focusing on predicting equipment failures used for well treatments.
• O&G Digital Marketing Analytics - Supported a high-level technical architecture modernization project, developed KPI frameworks for 50+ marketing programs and multiple analytics modernization roadmaps for a large client’s marketing department.
• Utilities Customer Intelligence - Supported a series of digital-enablement initiatives (analytics consulting, customer propensity modeling, MS Dynamics CRM assessments, statistical analyses) for a utility client’s customer intelligence organization.
• O&G Downstream Analytics - Used various AWS APIs (NLP, ETL, RDBM) for 1000’s of business intelligence articles so users may analyze web articles on innovation through on a BI dashboard.

March 2017June 2018

Data Scientist, Digital Enablement & Innovation

Hewlett Packard Enterprise

I developed predictive analytics solutions with the Digital Enablement & Innovation team under HPE Global Operations. My scope of work included researching, developing, and deploying machine learning, predictive models on large datasets from across the enterprise (e2e) to enable better business decision-making for business users. I was lead advisor for methodology, research design, model checking and validation within the HPE team. Analytics research areas include order management analytics and supply chain analytics.

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 inbound logistics.
• Operationalized multivariate time-series  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 and supply chain analytics. 

October 2015February 2017

Business Strategy Manager, HPE Servers Strategy

Hewlett Packard Enterprise

I provided strategic consulting and implementation expertise for all global business units, leadership and support teams within HPE Servers (≈$15B). I 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.

Analysis and problem-solving work include:

• 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.
• 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 for all global business units.

Jun 2015October 2015

Predictive Modeler (MBA Intern), NPS Economics

Hewlett Packard Enterprise

I developed predictive models and research for the Net Promoter Score (NPS) System using e2e enterprise data. Analyses and problem-solving work included determining priority drivers of NPS and customer loyalty surveys and studies, present research on relationships between NPS, revenue,market share, and profitability for various countries.

Jul 2014Jun 2015

Business Development Manager

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 to include F2F marketing, market research, and solutions  development. Clientele include 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 Artificial Intelligence

Stanford University

Part-time, graduate student enrolled in either CS221: Artificial Intelligence: Principles and Techniques, CS224: Natural Language Processing with Deep Learning, CS230: Deep Learning, and/or CS231N: Convolutional Neural Networks for Visual Recognition. 

Deep learning submission:


Post-Graduate Certificate in Data Science

Northwestern University

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


Master of Science in Data Science

Northwestern University

Coursework focused on various aspects of statistical analysis, multivariate time series forecasting, Generalized Linear Models, Gradient Boosting Machines, Random Forests, clustering algorithms, and introductory coursework into deep learning. This degree is formerly known as the Master of Science in Predictive Analytics (2015-2017).


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.

Houston Exponential Data Science Sub-Committee Ambassador

I take a facilitating and advisory role for the Data Science Subcommittee at Houston Exponential - the innovation strategy office for Houston.