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nickblackbourn/README.md

👋 Hi, I'm Nick

Head of Process Intelligence (UK) at Capgemini Invent.

I work at the intersection of process mining, event-log engineering, data pipelines, and emerging AI-Ops patterns. This GitHub is where I build practical tools, worked examples, and lightweight prototypes that turn operational data into something organisations can learn from — and act on.

🔧 Featured Work

  • Open-Source End-to-End Process Mining – a minimal pipeline showing how to create a database, load raw data, transform it into an event log, and run PM4Py process discovery.

  • NFL Process Mining Example – a hands-on worked example turning NFL play-by-play data into a structured event log using SQL and Python.

  • Synthetic Event Log Generator – a configurable tool for generating realistic event logs for demos, training, and exploratory work.

  • PI Data Assessment Assistant – an early-stage helper script that performs basic data readiness checks for process mining projects.

If you are exploring modern process intelligence, event-log engineering, or how AI and data engineering can support operational decision-making, feel free to connect or reach out.

Pinned Loading

  1. open-source-end-to-end-process-mining open-source-end-to-end-process-mining Public

    Minimal, open-source end-to-end process mining pipeline using a real database, SQL/Python transformations, event-log export, and PM4Py process discovery.

    Python 2 1

  2. Synthetic-Event-Log-Generator-for-Process-Mining Synthetic-Event-Log-Generator-for-Process-Mining Public

    This tool generates synthetic event logs for process mining and process intelligence use cases.

    Python 1 1

  3. Process-Intelligence-Data-Assessment-Assistant Process-Intelligence-Data-Assessment-Assistant Public

    Experimental Python tool for assessing raw data readiness for process mining and event-log generation

    Python

  4. nfl-process-mining nfl-process-mining Public

    Worked example: converting NFL play-by-play into a process-mining event log using SQL + Python

    Python