Arizona State University

Master of Business Administration

2023

W. P. Carey School of Business | Working Professionals Program

Concentrations: Business Data Analytics, Marketing

Activities and Societies: Beta Gamma Sigma Honor Society

4.0/40

university of California, Berkeley

Doctor of Philosophy

2020

Applied Machine Learning | Systems Engineering | Civil and Environmental Engineering Department

Minors: Data Science, Applied Geophysics

Research Topic: The application of machine learning and deep learning methods to microseismic data for the recovery of information

Activities and Societies: Tau Beta Pi Honor Society, VP of Society of Exploration Geophysicists

3.9/40

university of California, Berkeley

Master of Science

2013

Systems Engineering | Civil and Environmental Engineering Department

Minors: Electrical Engineering/Computer Science, Earth and Planetary Sciences

Activities and Societies: Tau Beta Pi Honor Society, VP of Society of ExplorationGeophysicists

4.0/4.0

university of Arizona

Bachelor of Science

2012

Systems Engineering | Systems and Industrial Engineering Department

Minors: Mechanical Engineering, Mathematics, Japanese  

Activities and Societies: Tau Beta Pi Honor Society

3.9/4.0

United States Naval Academy

Bachelor of Science

Systems Engineering | Weapons and Systems Engineering Department

Minor: Japanese

Degree incomplete due to injury.

Senior Data Scientist

• Apply predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications

• Leverage advanced analytics to assess future risk, opportunities, and capabilities to deliver value and create competitive advantage

• Partner with other Data Science teams across the enterprise to define business problems and formulate solutions

• Develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation, and model implementation

• Translate complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions

• Develop interactive and static visualizations for technical and non-technical audiences with open source and commercial software packages

Data Scientist - Model Validation

• Domain knowledge expert specializing in validating machine learning and deep learning models across the enterprise

• Independently review predictive models and validate the methodology through transparent framework

• Develop complex systems and programs that measure aggregate risk exposures

• Create statistical reporting and financial analysis to forecast results for required stress test scenarios

• Utilize advanced analytics to assess future risk, opportunities, and effectiveness

• Translate results into meaningful solutions to enhance decision making processes

• Construct reports and visualizations to effectively communicate findings to senior leadership

Data Scientist

• Project Lead reporting directly to project owner

• Productionize business solutions with actionable insight

• Connected Maintenance and predictive failure analysis 

• Build predictive models to identify potential paths for failure of vital aerospace components and create recommendations for risk mitigation

• Utilize critical air traffic data and weather information to enhance flight routing and planning

• Develop data driven approaches to monetize available information from aerospace products

• Create scalable, efficient, automated solutions for large scale data analytics and predictive modeling tasks

• Partner with Subject Matter Experts (SME) and business leaders to develop and implement rapid prototypes for proof of concept and feasibility testing

• Develop interactive and static visualizations for technical and non-technical audiences with open source and commercial software packages

• Leverage web-based metrics and proven analytic methodologies to better understand customer behavior to minimize cost and increase reliance on self-service offerings

Graduate Student Researcher

• Performed graduate-level research in the field of Signal Processing with a focus on Hydraulic Fracturing Processes

• Time domain and Fourier domain analysis of real seismic data

• Identification of potential indicators of noise and other negative effects through seismic analysis of specialized waveforms

• Spectral characterization of microseismic compressive and shear wave arrivals

• Machine learning techniques such as neural networks, support vector machines, and clustering as a means of characterizing various geophysical phenomena

Graduate Student Instructor

GSI for CEE/EPS 178 - Introduction to Applied Geophysics, an upper-level undergraduate course that aims to:

• Provide a review of the basic theory of seismic and electromagnetic waves, along with gravitational, magnetic, electric, and electromagnetic fields

• Develop an understanding of how measurements of these fields can be used to provide information about the physical characteristics of the subsurface

• Provide experience with the evaluation of these different data sets, using direct analytical and computer-assisted computation of subsurface models

• Develop critical thinking skills and an appreciation of the limitations or non-uniqueness of subsurface interpretations based on these types of data

• Provide familiarity with the use of these geophysical methods in engineering, hazardous waste site, hydrological, mining and petroleum investigations