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Data based innovation • Advanced lingustic analsysis AI and NLP • Communications and leadership

Building reliable AI analytics for complex project deliverables.

I lead delivery of NLP, machine learning and cloud-native analytics with a practical engineering approach. My work focuses on automation that stands up to scrutiny: measurable accuracy, clear governance, and outcomes that teams can use day-to-day.

NLP scale
0
interactions analysed
Adoption
0
colleagues served
Automation
0
cycle-time reduction

Case studies

A selection of delivery work across regulated environments, designed for repeatability, auditability and clear stakeholder value. Filters below highlight the main theme of each piece.

All NLP & ML Automation Cloud Governance
d1
Large-scale NLP

Conversation analytics at operational scale

Delivered an automated pipeline to analyse 800k+ digital customer interactions, including robust text preparation, classification and keyword/theme outputs. Produced stakeholder-ready dashboards with consistent definitions and traceable metrics.

d2
Regulatory automation

From month-end reporting to daily delivery

Reworked a high-volume reporting workflow using Python-based quality controls and statistical checks. Reduced publication timelines from weeks to hours while improving repeatability and providing clear exception handling.

d3
ML prioritisation

Risk and issue signals for programme planning

Applied NLP techniques to structured and unstructured RAID-style data to support prioritisation across complex programmes. Focused on explainable features and clear communication of uncertainty to decision-makers.

d4
Cloud pipelines

Lakehouse patterns for repeatable analytics

Built production-grade ingestion and transformation workflows with strong operational controls: lineage, scheduled execution, data quality assertions and clear ownership boundaries between teams.

d5
Secure delivery

Analytics platforms that work for the whole organisation

Designed secure internal tooling and dashboards serving large user groups, with governance-friendly access patterns, resilient scheduling and clear documentation to support operational handover.

d6
Real-time BI

Automated insight delivery for high-visibility moments

Implemented automated reporting pipelines feeding live dashboards. Designed for low manual effort, predictable refresh behaviour, and rapid interpretation by non-technical stakeholders.

Career delivery

A sector-diverse track record across finance, energy, media, and infrastructure. Focus: trusted analytics products, delivered with pace and discipline.

Senior MI / Analytics Engineer

Financial services • secure platforms • operational reporting

2024–2025
  • Designed and delivered a secure internal analytics platform with management dashboards used by a large workforce.
  • Built an end-to-end automated daily pipeline to produce compliance-ready reporting outputs with clear controls and exceptions.

Senior Data Engineer

Energy • NLP analytics • cloud delivery

2021–2024
  • Introduced large-scale NLP analytics for customer interactions, enabling consistent insight and governance-aligned reporting.
  • Implemented automation to support quality assurance and performance assessment, including sensitive-language detection approaches.
  • Led delivery of lakehouse-style pipelines with agile planning and stakeholder management across multiple teams.

Project Management & Data Science (Associate)

Asset management • regulatory reporting automation

2019
  • Reduced regulatory publication time from one month to one day using Python automation and statistical quality checks.
  • Optimised data flows to reduce complexity and improve reliability in high-volume reporting processes.

Senior Data Analyst

Media • cloud BI • geospatial analytics

2018–2019
  • Delivered cloud-based analytics workflows and automated dashboards for fast-moving, high-visibility reporting needs.
  • Built a custom geospatial approach (distance + clustering) to support strategic location planning decisions.
  • Coached colleagues in practical Python and data-engineering patterns to increase team capability.

Education

Engineering foundations with applied programming experience in an R&D environment.

Degree

BEng Electronic Engineering (Hons) — 2:1

Final year project: turbo coding for wireless standards (MATLAB/Simulink) — awarded a first-class project grade.

Industry placement

R and D Programmer Test Systems Intern Stuttgart

Programmed measurement and test systems using PCI + C++ tooling; produced ISO-aligned procedures adopted for wider reuse.

Focus

Applied analytics across sectors

The consistent theme: converting complex operational data into trustworthy, automated insight — with clear governance and stakeholder confidence.