Building systems that find signal in data and defend it.
DATA SCIENTIST & ML SPECIALIST
I'm 19, and I've spent the last couple of years figuring things out by actually building them — 19+ projects across machine learning, NLP, and computer vision, with security now creeping into the mix too. Currently doing a BS in Cybersecurity, and still learning mostly by shipping stuff and seeing what breaks.
I'm Muhammad Mohsin — a 19-year-old data scientist who learned almost everything the hard way: by building things, breaking them, and fixing them again. No fancy bootcamp shortcuts — just Python, TensorFlow, SQL, Power BI, and Tableau, turned into a habit of pulling real insight out of messy, real-world data.
Somewhere along the way I got hooked on predictive modeling, NLP, and recommendation systems — the kind of problems where the data doesn't just sit there, it actually tells you something useful if you clean it right and ask it the right questions. I'd rather ship a working prototype than perfect a theory on paper, and that mindset has shaped almost every project I've built.
Lately I've been pulling cybersecurity into the mix too — specifically how AI systems get attacked, not just how they get built. It's given me a bit of a defender's instinct that I'm now bringing back into my data and ML work. Still early in the journey, still 19, still building — but the projects speak for themselves.
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Shipped Projects
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Skills Logged
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Certifications
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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.