Approach • Projects • Upskilling • Contributions • Interests
Approaching Data: A Batman-Inspired Perspective
- Detective → I hunt for patterns hidden in the shadows.
- Strategist → I develop strategies that shape decisions.
- Guardian → I uphold insights to empower those I serve.
Data surrounds me. Its complexity can be chaotic, full of noise and hidden signals. That chaos demands discipline. From discipline comes vigilance, and vigilance reveals clarity, and clarity builds trust—trust that guides collaboration, uncovers hidden patterns, and ensures those I serve can act with confidence and understanding.
Amid the complexity, there is beauty: patterns waiting to be discovered and insights waiting to be illuminated. Curiosity draws me into new domains; each domain presents new challenges, each challenge reveals opportunities, and each opportunity produces meaning.
I wrangle the chaos and uncover the beauty—through modeling, optimization, and visualization—to deliver insights that teams can act on with confidence.
Case Files
University Course Timetabling Optimization
A modular Python implementation of my undergraduate honors thesis course timetabling solver, built with OR-Tools CP-SAT. It extends an earlier OpenSolver prototype with enhanced constraints, greater flexibility, and structured I/O. The full thesis is available at OhioLINK ETD.
Linear Programming • Python • Excel
Predicting Hotel Cancellations
This master’s capstone develops interpretable models to predict hotel booking cancellations using data from two Portuguese hotels, with logistic regression and classification trees (cross-validated) highlighting key predictors for actionable operational insights.
Predictive Analytics • Business Insights • R
Field Notes
📈 Data Exploration & Statistics
- EXAMPLE 1
- EXAMPLE 2
- EXAMPLE 3
🤖 Predictive & Machine Learning Models
- EXAMPLE 1
- EXAMPLE 2
- EXAMPLE 3
🎨 Data Visualization & Storytelling
- EXAMPLE 1
- EXAMPLE 2
- EXAMPLE 3
📐 Mathematical Modeling & Operations Research
- EXAMPLE 1
- EXAMPLE 2
- EXAMPLE 3
🛠 Tools & Notes
- EXAMPLE 1
- EXAMPLE 2
- EXAMPLE 3
Behind the Scenes
- 📝 Documenting contributions, experiments, and reflections.
Open Investigations
I am open to collaborating on projects (academic, professional, or exploratory) that bring these interests to life, and I always welcome opportunities to explore new problems where computational mathematics can contribute to meaningful impact.
🔍 Data Science
- Predicting Soccer Penalty Kicks
- Stock Portfolio Models for Fantasy Football
- Neural Network Architecture
📐 Mathematical Modeling & Operations Research
- Timetable Optimization
- Humanitarian Logistics
- Urban Traffic Control
- Bracketology
🧩 Niche Interests
- "Opt Art" → Optimization-Inspired Art
- Pokemon Type Balancing
- Developing a Scientific Theory of Chess
📝 Continued Learning
- Time Series Analysis
- Principal Components Analysis
- Markov Chains
- Databricks
I'd be happy to connect. You can find my contact info and social links below.