Cybersecurity Analyst | Data Enthusiast | ML Explorer
I work in cybersecurity with a focus on risk and vulnerability reporting, but I use this space to explore what's possible with data. You'll find projects here where I dig into analysis, experiment with machine learning, and build tools that solve real problems.
I like projects that mix clarity with curiosity — where the code doesn't just run, it tells a story.
| Project | Description | Tech |
|---|---|---|
| F1 Teammate Qualifying ML | Full-stack ML pipeline predicting F1 race winners with 2025 season data integration. Includes dashboard, API, and tests. | Python, TypeScript, FastAPI |
| F1 Enhanced Dashboard | Comprehensive Formula 1 dashboard with sector timing analysis, track layout visualization, and interactive lap charts. | React, JavaScript |
| Portfolio Trimming Backtest | Quantitative analysis: Does portfolio trimming beat buy-and-hold? Three-phase backtest with real data (2015-2024). | Python, Pandas |
| Data Cleaning AI Agent | Automated tool that cleans messy datasets using AI — built because I got tired of rewriting the same data cleaning code. | Python, Claude |
| Project | Description | Tech |
|---|---|---|
| Vulnerability Analysis | Exploring, analyzing, and modeling vulnerability management data with risk scoring and prioritization techniques. | R, Python |
My Kaggle notebooks collection showcases a range of data science skills:
Computer Vision
- Jaguar Re-Identification using DINOv2 + ArcFace (0.93 score)
- Spot Pattern Recognition Models
Exploratory Data Analysis
- Netflix content analysis
- Global earthquake patterns
- TikTok video duration analysis
- Social media addiction correlation studies
ML/Prediction
- Heart Disease Prediction (Ensemble GBT)
- Steam player count forecasting
- Used car price prediction
Languages: Python, R, SQL, JavaScript/TypeScript ML/Data: Pandas, Scikit-learn, TensorFlow, Tableau Web: React, FastAPI, Node.js Security: Vulnerability assessment, risk analysis, event log analysis Tools: Git, Claude/AI tooling, Jupyter
