Building systems that find signal in data and defend it.
DATA SCIENTIST & ML SPECIALIST
I turn messy data into decisions and messy systems into hardened ones — 19+ shipped projects spanning machine learning, NLP, computer vision, and now offensive security research. Currently deepening a BS in Cybersecurity while building in public.
Results-driven Data Scientist with a strong foundation built through hands-on projects rather than theory alone, using Python, TensorFlow, SQL, Power BI, and Tableau to transform complex, real-world data into meaningful insights.
Skilled in predictive modeling, natural language processing (NLP), recommendation systems, data cleaning, feature engineering, and interactive data visualization. Passionate about solving practical problems by building and deploying impactful solutions.
Currently expanding expertise in cybersecurity with a focus on AI security, adversarial machine learning, and secure AI systems—combining data science with a defender's mindset to develop reliable and resilient intelligent solutions.
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Domains Covered
Portfolio, visualized
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Not a claim — a data point. This graph is built from the same 19 projects listed below, live in your browser — so you're already looking at a small proof of the data work described above.
Detected competencies
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Machine Learning / AI
Machine LearningDeep LearningTensorFlowScikit-learnComputer VisionNLPRecommender SystemsFeature EngineeringPredictive ModelingTime Series ForecastingA/B TestingLLMsPrompt / AI Model EvaluationOpenAI API
Data & Visualization
SQL & Advanced QueryingPandasStatistical AnalysisExploratory Data AnalysisMicrosoft Power BITableauSeaborn / PlotlyETL & Pipeline AutomationBusiness IntelligenceData WranglingReport Generation
A lightweight, client-side taste of my AI Agent Red Teamer project. Paste any AI prompt below — it's scanned in your browser, in real time, against six common attack-pattern categories. No data leaves this page.
Simplified heuristic demo for portfolio purposes — the full project uses a 68-pattern library across 7 categories with weighted scoring, SQLite persistence, and PDF reporting.
Live demo — instant data profiler
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RUNS ENTIRELY IN YOUR BROWSER
The unglamorous 80% of every data project — paste any raw CSV and this profiles it instantly in your browser: column types, missing values, and a cleaned preview. The same first step behind every analysis in the case files above.
Client-side heuristic profiler for demo purposes — mirrors the first pass of exploratory data analysis I run in Pandas before any modeling or visualization begins.