I'm an analytics leader who likes exploring data to find direction by collecting the right signals, separating noise from insight, and turning complex problems into clear strategies that actually drive impact. I'm perpetually absorbing new skills through genuine curiosity and a desire to learn. I stay plugged into emerging tech and market news looking for different, faster ways to solve familiar problems. I've built trust across Oil & Gas, Chemicals, and Tech through trust and empathy, formulating solutions, and guiding transformations from an early idea to full execution.
MBA - Business Intelligence
Dec 2025
MS - Chemistry
D2 Football Full Scholarship
BS - Chemistry (ACS Certified)
D1 Football Full Scholarship
Transforming raw data in actionable insights through intuitive dashboard and analytical models.
Experienced with Power BI Embedded, Azure SQL, AWS S3, and building secure analytics ecosystems for clients.
Delivering cost savings through data-driven biocide optimization, treatment efficiency, and operational workflow improvements.
MBA-trained approach to organizational strategy, digital enablement, and innovation pathways in multiple sectors.
2021 - Present Current
Own full product lifecycle for cloud-based analytics platform (mobile/web) from prototype through enterprise adoption across clients. Integrated generative AI to automate DNA signal interpretation, cutting analysis time 40%. Applied ML algorithms to transform field data into quantitative risk models. Delivered measurable impact: 50% operational spend reduction and $2M+ annual OPEX savings.
2019 - 2021
Managed $500M+ chemical portfolio across upstream operator accounts. Built revenue, pricing, and market analytics dashboards informing commercial strategy and enabling 15% increase in high-margin sales. Ensured 100% regulatory compliance while streamlining state reporting, reducing administrative rework.
2018 - 2019
Managed engineering design, procurement, construction, and delivery of 4 complex stimulation vessels across US, Denmark, UAE, and Azerbaijan. Obtained MARPOL, process, and class approvals while managing cross-functional, international teams.
2016 - 2018
Led global service quality initiatives, reducing non-productive time by 15% and high-impact incidents by 18%. Designed globally deployed enterprise workflows for tracking service quality incidents. Built executive-level KPI dashboards in Power BI, shortening decision cycles by 30%.
2012 - 2016
Conducted analytics-driven audits of contracts and inventory, securing $150K in reconciliations and $600K+ in cost corrections. Designed and implemented KPI tracking tools adopted across North America and Saudi Arabia, improving operational efficiency and reducing non-productive time by 7%.
Countries Worked In
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Dollars Saved
Coffee Consumed
Some of the most widely consumed chemicals within the Oil and Gas industry are drag reducing agents. Often the industry simplifies physical characteristics of these agents to small-scale bench-top laboratory friction reduction tests. I authored this paper to tie together decades of academic research on drag reducing agents to their practical application within well completions.
This work highlights meaningful physical traits of drag reducing agents, and their practical use applications to allow operators to make better informed decisions on their chemical selections and capital allocations.
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Clients spend millions of dollars annually stimulating wells to enhance production with the ultimate goal of getting the best return on investment. Well stimulation requires injecting fluid at high pressure and velocity into the reservoir to produce conductive fractures. This analysis was used to investigate the best return on investment when selecting a fluid composition for completions.
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Deriving insights with Python. Automating multivariate comparative analysis of diagnostic results composed of samples comprised of 130 independent features for hundreds of comparisons.
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An automated sports arbitrage bot that scans for risk-free profit opportunities across multiple bookmakers and broadcasts them to X (Twitter) using AI-generated content.
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This analysis investigates the historic production, imports, exports, trade deficits, and energy generation trends of fossil fuel resources within the United States to determine the long-term outlook, historic trends, and future security of domestic energy.
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