About me

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Data and automation specialist with 4+ years’ experience turning sensitive data into automated reporting, dashboards and decision tools. Builds end-to-end low-code and scripted solutions using SQL, Python, Power BI, Power Automate, Power Apps and Google Cloud Platform. Known for pragmatic problem-solving with the tools at hand, from in-house Power Apps that fill gaps in vendor systems to automated pipelines that cut manual reporting by 60%.

Experience

  1. – Present

    Senior Data Analyst

    We Are With You · Wigan, UK (Hybrid)

    • Built ETL pipelines and automated reporting in SQL, Python and Google Cloud Platform (BigQuery, Cloud Functions, Looker), cutting manual work on recurring reports by 60%
    • Developed a Python risk-flagging tool that identifies clients at elevated risk of liver cirrhosis from blood tests and treatment data (substance use, injecting history, homelessness), reducing unnecessary FibroScan referrals by 22%
    • Built a Power Apps canvas app with SharePoint for FibroScan appointment tracking when the case management system (CMS) equivalent was over a year away, delivering it in 3 weeks; now used by all clinical staff in the service
    • Delivered Power BI dashboards on CMS and Google Sheets data, used by 60+ managers across 8 services to track clinical and prescribing reviews, discharges and drop-out risk, contributing to a 35% improvement in client retention
    • Automated review emails to every We Are With You service with Power Automate, and piloted Google Apps Script blood-borne virus testing reminders in Google Chat, successfully trialled in Wigan ahead of wider roll-out
    • Managed monthly national treatment database submissions (NDTMS, CJIT) for 3,000+ clients, resolving data quality issues with the CMS and raising continuity-of-care scores to 80%, the highest in the North West
    • Trained 100+ staff on the CMS and GDPR, supported CMS data migrations for 2 services, and partnered with managers and commissioners on data to secure funding for 3 new specialised teams
  2. –

    Data Analyst

    QA Ltd · Birmingham, UK (Remote)

    • Automated reminders, data refreshes and recurring reporting tasks with Power Automate and Office Scripts, reducing manual effort by over 50%
    • Developed an NLP and machine learning tool in Python that analysed qualitative staff and learner feedback to identify skills gaps and recommend targeted training across 4 teaching and operational teams
    • Built Power BI and Tableau dashboards on data from SharePoint, Microsoft Forms and myQA Portal, cleaned and modelled in Python, Power Query and DAX, giving 30+ stakeholders self-service access to KPIs such as learner progress and completion rates, replacing 20+ manual weekly reports
    • Customised SharePoint project boards and Gantt views with JSON column formatting, improving project tracking and visibility for 30+ employees
    • Gathered reporting and automation requirements from operations teams, prioritised requests by business impact, and cleared a backlog of 20+ requests through new dashboards and flows
  3. –

    Data Lecturer & Module Leader

    QA Ltd · Birmingham, UK (Hybrid)

    • Taught data science, data analytics, business intelligence and advanced database systems from undergraduate to Master’s level (Levels 4–7) for Ulster University, University of Roehampton and Solent University
    • Led modules across Levels 3–7 in data science, web development and computing, managing teams of 3–5 lecturers per module; designed assessments and marking criteria, ran standardisation meetings and moderated marking for consistent quality
  4. –

    Research Software Engineer

    University of Patras · Patras, Greece (Remote, Part-time)

    • Developed a new family of onset and offset detection algorithms for electromyography (EMG) signals based on the Teager-Kaiser Energy Operator (TKEO), maintaining low error rates at signal-to-noise ratios above 12 dB
    • Built signal acquisition and analysis pipelines in Python and C++ for EMG data from 30 participants, supporting the development of bionic prosthetic arms

Skills

Data Analysis

  • SQL (PostgreSQL, SQL Server, MySQL)
  • Python (pandas, polars, NumPy, scikit-learn)
  • Excel (Power Query)
  • Alteryx
  • OpenRefine
  • Jupyter Notebooks
  • statistical analysis
  • EDA

BI & Visualisation

  • Power BI (DAX)
  • Looker / Looker Studio
  • Tableau
  • matplotlib
  • plotly

Data Engineering & Cloud

  • ETL/ELT pipelines
  • data modelling
  • data quality and validation
  • Google Cloud Platform (BigQuery, Cloud Functions)
  • Microsoft Fabric
  • Azure
  • AWS
  • Docker
  • Git/GitHub

Automation & Low-code

  • Power Automate (cloud flows)
  • Power Apps (canvas apps, Power Fx)
  • SharePoint
  • Office Scripts
  • Make
  • Google Apps Script
  • Excel VBA
  • REST APIs

Professional

  • stakeholder management
  • requirements gathering
  • data governance and GDPR
  • process improvement
  • training and documentation

Education

  • MSc Data Science & Artificial Intelligence Distinction

    University of Liverpool · Liverpool, UK

    –

  • Integrated Master’s in Electrical & Computer Engineering 2:1

    University of Patras · Patras, Greece

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