Portfolio

Selected Work

I help organisations modernise legacy systems, build cloud-native data platforms, and implement AI that delivers measurable ROI. Here are some of the problems I've solved and outcomes I've driven.

Client names anonymised to maintain confidentiality.

HealthcareMigrationAI Accelerators

Healthcare Platform Transformation

Problem

A £16B healthcare business needed to separate and migrate its legacy data platform during a major corporate divestiture, with aggressive timelines and complex data dependencies.

What I Did

Deployed custom AI accelerators to automate legacy code analysis and conversion. Built a systematic migration framework handling 4,000+ code files with automated testing and validation.

Impact

85% reduction in analysis time, successful migration of 4,000+ legacy files to Snowflake

SnowflakePythonGenAIdbtAirflow
GenAIData QualityProduct Development

GenAI Data Quality Agents

Problem

Enterprise clients struggled with manual data validation processes that were slow, inconsistent, and couldn't scale with growing data volumes.

What I Did

Designed and productised a suite of autonomous GenAI agents (DQ Profiler, DQ Recommender) that automatically profile datasets, identify quality issues, and recommend remediation actions.

Impact

40% reduction in manual validation effort, 60% faster MDM implementations

LLMsPythonDatabricksRAG Architecture
Financial ServicesCloud PlatformRegulatory

FTSE 100 Bank Cloud Data Platform

Problem

A major UK bank required a modern cloud data platform to support regulatory reporting, customer analytics, and real-time decisioning across multiple business lines.

What I Did

Architected an enterprise-scale cloud-native platform with robust data governance, automated pipelines, and self-service analytics capabilities for business users.

Impact

£8M+ programme delivered, enabling real-time regulatory reporting and advanced analytics

AWSSnowflakeKafkaPower BIPython
Financial ServicesMLProduct Development

ML Mortgage Recommendation Engine

Problem

A financial services client needed to identify cross-sell opportunities within their existing customer base while maintaining regulatory compliance.

What I Did

Built an ML-based recommendation engine that analysed customer profiles, financial behaviours, and market conditions to surface high-propensity mortgage opportunities.

Impact

£50M+ in new lending opportunities identified

PythonTensorFlowSnowflakePower BI
Retail & CPGMLGlobal Deployment

Global CPG Real-Time Analytics

Problem

A global consumer goods company needed unified analytics across 26 countries with ML-powered demand forecasting and market detection capabilities.

What I Did

Delivered 12 AI-powered analytics use cases including predictive demand sensing, market anomaly detection, and automated reporting serving 1,000+ business users.

Impact

1,000+ users enabled across 26 countries with real-time insights

DatabricksSparkPythonTableauAzure

Additional Projects

Financial ServicesCompliance

KYC/AML Risk Automation

Manual KYC and AML processes created compliance risk and slow client onboarding, exposing the bank t...

£3.5M in potential compliance losses averted

Financial ServicesStrategy

APAC Banking Cloud Strategy

An APAC banking group needed a comprehensive cloud data strategy to modernise from legacy Salesforce...

£1M+ revenue impact through prioritised analytics initiatives

Financial ServicesRegulatory

Consumer Duty Data Governance

New FCA Consumer Duty regulations required a UK bank to demonstrate substantive compliance through c...

Full regulatory compliance achieved, avoiding potential FCA penalties

Interested in my thinking? I write about data strategy and AI implementation.

Read my writing