Supersonic Propulsion & Flight Systems
High-speed flight, efficient propulsion, aerospace systems, and the engineering behind advanced mobility.
I’m a Data Science master’s student with an Information Technology background and an Accounting minor, which gives me a way to look at technical systems from both an engineering and market perspective. My interests sit at the overlap of financial markets, energy, fuel systems, logistics, aircraft, propulsion, maritime systems, architecture, and large-scale infrastructure, fields that may look separate at first, but are deeply connected through movement, power, trade, design, and the economics behind how the world operates.
Energy is central to nearly everything: data centers, buildings, supply chains, ships, aircraft, advanced propulsion, and the financial markets that price and move resources. What interests me is using data science, machine learning, computer vision, and high-performance computing to understand these cross-domain relationships more clearly, from oil and fuel systems to ports, nuclear energy, supersonic aircraft, submarines, and the built environments that depend on them.
High-speed flight, efficient propulsion, aerospace systems, and the engineering behind advanced mobility.
Reliable, energy-dense power systems and their role in future infrastructure and industrial operations.
Design, buildings, spatial systems, infrastructure, and environments where technology operates.
Trade, security, logistics, propulsion, ports, and maritime engineering systems.
A focused set of credentials that support my interests in financial markets, crude oil, analytics, and real-world procedural systems.
Financial markets, macroeconomic indicators, market data, and applied finance foundations.
Crude oil market structure, futures, hedging, pricing behavior, and energy-market context.
Digital analytics, web measurement, traffic behavior, reporting, and data-informed decisions.
Procedure-based training, safety discipline, real-world environments, and technical awareness.
Details sourced from resume.
This award and the WTI project below are directly connected: the WTI Oil Price Direction Forecasting project shown in the Projects section is the same work that won this CADSCOM 2026 showcase award.
Click To See Poster
Won 1st place in the Prediction category at the Midwest Undergraduate Data Analytics Competition across undergraduate and graduate teams by building the most accurate location models. In a 24-hour challenge, improved predictive performance using environmental and geographical factors in a cross-functional team setting.
My main projects connect structured data pipelines, practical AI systems, and clear technical evaluation.
Time Series · Energy · Finance
This project explores whether weekly WTI crude oil price direction can be modeled from a structured mix of energy-market, macroeconomic, and financial indicators.
The emphasis is on building a clean forecasting pipeline: align the data, engineer meaningful market signals, preserve time order, and evaluate model behavior carefully.
Computer Vision · Object Detection
This project applies computer vision to port monitoring using overhead imagery, with the goal of detecting cargo vessels as operational signals for maritime activity.
The focus is the full detection workflow: collect port imagery, label ships, train an object detection model, and communicate how visual monitoring supports maritime awareness.
Details sourced from resume.
Helping lead DREAM’s transition into a more research-focused organization by launching the BRAIN Lab research initiative, while aligning financial planning and resource allocation to support research activities, technical trainings, industry talks, and major data science competitions.
Directed financial planning and resource allocation to fund industry talks, technical trainings, and major data science competitions, which expanded student engagement and strengthened DREAM’s impact across campus.
Secured and managed fundraising revenue that doubled operating funds, enabling broader community programming and supporting diverse cultural initiatives on campus.
Reach out through email, LinkedIn, GitHub, or view my resume directly.