I explore how complex systems work, identify opportunities for improvement, and use data-driven thinking to create meaningful solutions. With a background spanning Aerospace Engineering, Business Analytics, Aviation Operations, and Research, I enjoy solving challenges where technology, people, and processes intersect.
My journey began in Aerospace Engineering, where I developed an appreciation for precision, systems thinking, and problem-solving in highly technical environments.
Over time, I became increasingly interested in how organizations make decisions, optimize operations, and create value through data. This curiosity led me to pursue a Master's in Aerospace Business Analytics at Embry-Riddle Aeronautical University, combining analytical methods with operational strategy and business decision-making.
Today, my interests extend beyond engineering. I enjoy exploring how technology, analytics, and human-centered thinking can improve processes, products, and user experiences.
"How can this system work better than it does today?"
My long-term goal is to bridge technology, operations, and business strategy to create measurable impact.
Currently
Building aviation safety data repositories and structured intelligence systems supporting research, analytics, and machine learning initiatives.
Teaching
Helped students understand optimization, simulation, and quantitative decision-making.
Operations
Contributed to logistics planning, inventory management, quality evaluation, and operational execution.
Student Affairs
Supported admissions operations, CRM processes, student engagement, and data management.
Graduate Studies
Embry-Riddle Aeronautical University. Expanded expertise into business intelligence, operations strategy, analytics, and decision-making.
Foundation
Built strong foundations in technical problem-solving, systems thinking, and engineering analysis.
Selected Work
Developed a centralized repository integrating aviation communications, incident reports, transcripts, and operational analyses into a structured research environment.
Result — Cut researcher data-retrieval time and unlocked downstream ML experiments.
Analyzed aircraft ground operations and modeled process improvements to identify bottlenecks and improve efficiency.
Result — Surfaced top failure points across hub operations and proposed targeted fixes.
Applied machine learning techniques to operational aviation data to identify patterns associated with missed connections.
Result — Identified high-risk connection windows and operational drivers behind them.
Evaluated demand, operational constraints, and financial performance indicators to assess viability of potential airline routes.
Result — Built a repeatable framework for ranking candidate routes by net opportunity.
Compared network structures, connectivity strategies, and operational models of FedEx and UPS using analytics and visualization techniques.
Result — Mapped structural trade-offs between hub density and route flexibility.
Philosophy
Every project is an opportunity to discover a better approach, gain new perspectives, and improve future outcomes.
Understanding relationships between people, processes, technology, and outcomes leads to better decisions.
The strongest solutions emerge when diverse viewpoints and expertise come together around a shared objective.
I'm interested in creating measurable, sustainable improvements rather than change for its own sake.
Toolkit
Analytics & Data
Operations & Strategy
Engineering & Technical
Collaboration & Leadership
Personal Brand
I'm driven by curiosity, continuous learning, and the belief that every system can be improved.
My work combines analytical thinking, operational understanding, and collaborative problem-solving to help organizations make better decisions and build better outcomes.
I want to be remembered as someone who approaches challenges differently, asks thoughtful questions, and creates meaningful impact through both work and values.
Contact
Interested in discussing product strategy, analytics, operations, technology, or future opportunities? Let's start a conversation.