Leading digital, automation and data analytics across Halliburton.

-Established the first dedicated digital org within a product service line.-Managed organization - hundreds of developers, engineers and scientists building digital products -Delivered products focused on automation, cloud/edge, AI/ML modeling and software development.-https://www.halliburton.com/en/products/octiv-intelligent-fracturing-platform

Focused on new product delivery of digital solutions

Led team building edge + cloud software with embedded analytics & ML models.Hadoop, Azure, SQL, Spotfire, Power BI, R, Matlab, C#

-Manage projects and roll out new products globally within the Production Enhancement division.-Specific focus on leveraging big data and machinery diagnostics to drive business decisions and improve operational efficiency.

-Defined technology/business strategy for data related products and services.-Led team responsible for global IPS subject matter expertise in subsurface surveillance methods -Use physics-based models combined with distributed and point sensor measurements to (1) determine production profiles, (2) profile stimulation (acid and hydraulic fracturing) operations, (3) determine injection profiles, (4) quantify fluid location within the earth and (5) determine formation characteristics

-R&D on fiber optic distributed acoustic sensing (DAS) and distributed temperature sensing (DTS)-Developed new techniques and applications for DAS - filed numerous patents-Work directly with customers integrating well bore data and DAS/DTS with physics-based models to solve problems and quantify/interpret downhole operations/events.

Center for Technology Innovation, Intelligent Production Systems Research and Development Group-Applied fiber optic sensing technologies (DAS, DTS, DSS, etc.)-Fluids and structural modeling - ANSYS/Fluent-Hydraulic fracturing computational erosion modeling and empirical model development-Developed vibration and fatigue testing program definitions for downhole hardware.

-Member of a MSFC NASA team comprised of SMEs responsible for propulsion system fluid dynamics across all of NASA - specifically pump dynamics, propulsion system hydrodynamics and external rocket acoustics.-Developed and implemented specialized digital signal processing algorithms to extract fluid dynamic signal characteristics in support of 1) design decisions, 2) loads analysis and 3) failure analysis-Focused on analysis of complex fluid systems, including: 1) lumped parameter system dynamic modeling of rotating equipment, 2) dynamic data analysis of turbomachinery and liquid rocket engine measurements and 3) system realization of mathematical models from measured data-Initiated/managed digital signal processing and perturbational fluid dynamic modeling libraries written in Matlab; responsible for mathematical derivations, algorithmic development and object-oriented framework design-Supported multiple projects simultaneously serving as a technical lead and team member

-Instructed ME3057 Experimental Methodology and Technical Writing - a third year Engineering course. Topics included: Signals, measurements, error analysis, system dynamics, microprocessors, data acquisition, motor control, heat transfer, acoustics and optics.-Developed custom C# software to interface with Motorola microprocessors. Interfaced instrumentation with measurement hardware and sensors.

-Implemented NI LabVIEW and NI Diadem to create fully automated testing and data acquistion software-Project management, including design, drawing and fabrication of pulsator used for fluid system identification.-Data analysis leveraging Fourier, cross spectral and filter analysis techniques; developed custom image processing algorithms and implemented in Visual Studio C#