About Me

Drawn to the systems that move, power, and connect the world.

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.

White clay render of a supersonic aircraft and propulsion test facility
Aircraft / Propulsion

Supersonic Propulsion & Flight Systems

High-speed flight, efficient propulsion, aerospace systems, and the engineering behind advanced mobility.

White clay render of a nuclear power facility and grid infrastructure
Nuclear / Power

Nuclear energy

Reliable, energy-dense power systems and their role in future infrastructure and industrial operations.

White clay render of modern architecture and infrastructure
Architecture / Built Environment

Architecture and environments

Design, buildings, spatial systems, infrastructure, and environments where technology operates.

White clay render of a shipyard with ships and submarines
Maritime / Naval Systems

Ships and maritime systems

Trade, security, logistics, propulsion, ports, and maritime engineering systems.

Technical Certifications

Professional foundations across markets, energy, analytics, and technical training.

A focused set of credentials that support my interests in financial markets, crude oil, analytics, and real-world procedural systems.

Bloomberg

Bloomberg Market Concepts

Financial markets, macroeconomic indicators, market data, and applied finance foundations.

Finance Markets Data

CME Group

Introduction to Crude Oil

Crude oil market structure, futures, hedging, pricing behavior, and energy-market context.

Oil Energy Futures

Google

Google Analytics Certification

Digital analytics, web measurement, traffic behavior, reporting, and data-informed decisions.

Analytics Web Reporting

PADI

Open Water Diver + Enriched Air Diver

Procedure-based training, safety discipline, real-world environments, and technical awareness.

Diving Open Water Nitrox
Awards

Competition achievement in predictive analytics.

Details sourced from resume.

April 2024 · Mankato, MN

MUDAC 2024 — 1st Place, Prediction Category

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.

Featured Projects

Energy forecasting and maritime computer vision.

My main projects connect structured data pipelines, practical AI systems, and clear technical evaluation.

Time Series · Energy · Finance

WTI Oil Price Direction Forecasting

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.

WTI oil price forecasting project visual
Energy Markets Forecasting Market Signals

Computer Vision · Object Detection

Cargo Ship Detection for Port Monitoring

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.

Cargo ship detection project visual
Port Monitoring Object Detection Maritime Awareness
Leadership

Student leadership and organizational impact.

Details sourced from resume.

2026 – 2027 · Mankato, MN

Treasurer — DREAM (Data Resources for Eager & Analytical Minds)

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.

April 2023 – April 2024 · Mankato, MN

Treasurer — DREAM (Data Resources for Eager & Analytical Minds)

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.

August 2020 – June 2021 · Mankato, MN

Treasurer — Nepali Student Community

Secured and managed fundraising revenue that doubled operating funds, enabling broader community programming and supporting diverse cultural initiatives on campus.

Contact

Let’s connect.

Reach out through email, LinkedIn, GitHub, or view my resume directly.