I'm a Business Administration grad from Cal Poly, San Luis Obispo. I concentrated in Information Systems, passionate about data analytics, business intelligence, and technology-driven problem solving.
An aspiring Business Analyst, I bring a blend of academic experience, hands-on projects, and real-world leadership from both being a project manager and a head lifeguard. At Cal Poly, I’ve developed technical skills through coursework and certifications in R (Studio), Python, and data analytics, while applying them in capstone projects, business case analyses, and work.
Whether it's building dashboards, analyzing data sets, or optimizing business processes, I focus on clarity, efficiency, and impact. I’m actively pursuing roles in Data Analytics or Business Analysis
- Python (Pandas, NumPy, Matplotlib, Scikit-Learn)
- SQL (MySQL, PostgreSQL)
- R (RStudio
- Tableau
- Power BI
- Excel (PivotTables, VLOOKUP, charts)
- GitHub
- Jupyter Notebook
- Anaconda
- R Studio
- VS Code
- PyCharm
Goal: Predict whether SpaceX Falcon 9 rocket boosters will land successfully.
- Cleaned and merged launch data using SpaceX API and Wikipedia scraping.
- Engineered features like payload mass, orbit type, and launch site.
- Trained classification models with up to 92% accuracy (Random Forest w/ GridSearchCV).
- Delivered insights via Plotly visualizations and Dash application.
Goal: Predict SBA loan default risk and uncover the drivers behind high-risk loans.
- Built classification models in Python using Logistic Regression.
- Achieved ~86% model accuracy using historical SBA data.
- Visualized feature relationships and top risk indicators (loan type, term length, geographic location).
- Identified patterns that could improve risk-based loan decision-making.
- IBM Data Science Professional Certificate (6/2025)
- Google Advanced Data Analytics (target: Summer 2025)
In my spare time, I enjoy playing video games, DJing, watching Formula 1, traveling to new places, and making Chicago style Deep Dish.
Let’s connect!.