MSc Computing (in progress) — Current module: M816 Data Management (DAMA‑DMBOK2)
Completed: Data Science & Machine Learning analysis of "red pill" content on YouTube
In progress: SaaS predictive football score model website
Product experiment (on hold): Pokémon card WhatsApp notifier for marketplace listings (eBay, etc.)
- Passionate about data science, machine learning, and building real-world solutions.
- Provided end-to-end IT consulting, designing and launching a full digital presence for a startup client.
- C is one of my main languages; I continue to deepen my expertise using K&R, The C programming language, alongside practical projects.
- Always exploring new tech and open to collaboration.
- Languages: Python, C, a bit of everything else
- Domains: Data Science, Machine Learning, SaaS, Web
- Tools: Jupyter, Vim, Git/GitHub, Docker, FastAPI
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YouTube — "Red Pill" Content Analysis (completed)
- Finished a reproducible analysis: collected video metadata and comments, performed multi-model sentiment/emotion analysis and topic modelling, and produced notebooks and visualisations summarising engagement and themes.
- Notebooks & artifacts: Link
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Football Match Outcome Prediction — SaaS & Business Simulation (in progress)
- Building an end-to-end pipeline (ingestion → feature engineering → LightGBM modeling → calibration → API). Working on MVP inference endpoint, calibration, and subscription delivery flow.
- Current focus: finalising model calibration, production snapshotting and the delivery pipeline (WhatsApp/Stripe integration).
- Repo / demo: Link
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Marketplace Notifier — Pokémon Card WhatsApp Notifier (product experiment; on hold)
- Detects listings for specified Pokémon cards on marketplaces (eBay, etc.) and notifies subscribers via WhatsApp.
- Planned features: listing ingestion/scraping, matching rules, Twilio WhatsApp notifications and a subscription opt-in flow.
- Status: on hold while consulting stakeholders and completing the football project. Will resume once requirements are finalised.
- Client project — built and deployed the official site for Greenlight Ecology.
- Role: end-to-end IT consultant (design, static build, AWS S3 + CloudFront deployment, SSL).
- Live: (add URL) · Tech: HTML, CSS, JavaScript
- Website: Link to site
- Coding practice & C development
- Ongoing algorithms & data structures practice and C exercises (The C programming language, Head First C, Learn C the Hard Way).
- Chess engine — Building a from‑scratch chess engine as a learning project. Implementing board/FEN I/O, robust move generation + make/unmake, perft tests for correctness, and a search stack (minimax → alpha‑beta → iterative deepening) with UCI support planned. Emphasis on correctness-first development, perft regression tests, and sanitizer-friendly code. Repo: Link
- MSc Computing (in progress) — The Open University
- Current module: M816 Data Management (DAMA‑DMBOK2) — topics include data governance, data quality, metadata management, master data management, data architecture and lifecycle.
- I’m mapping module concepts to my projects and will publish governance & QA artifacts (e.g., governance markdown, metadata catalog, data-quality checks) as I complete them.
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