Building the bridge between enterprise data, intelligent systems and commercial value.
I work where complex data, institutional systems and market opportunity meet—helping organisations build trusted foundations, develop decision intelligence and translate technical capability into outcomes that matter.
£5.298mUK government grant value for ISEE Retrofit
10+ yearsRelevant hands-on professional experience
91.6%Recall achieved by the leading IPO prediction model
0.96 R²Yield-point prediction in published rheology research
01 · Professional proposition
From data foundations to decisions and growth.
Olanrewaju combines enterprise finance systems and master-data practice with applied machine learning, research and commercial thinking.
The result is an unusually complete perspective: how information is structured, how intelligence is produced, how products earn trust—and how capability becomes measurable organisational value.
Credibility built across enterprise data, energy innovation, finance systems and technology commercialisation.
UK energy transition · Enterprise data
ISEE Retrofit: a smarter transition to Net Zero
As Group Senior Finance Systems Analyst at SMS, worked with the master-data team, data architects and enterprise stakeholders supporting ERP and finance-system foundations around METIS. The Department for Energy Security and Net Zero-backed programme tests how smart-meter data, tariffs and energy technologies can accelerate household transition.
£5,298,209DESNZ grant200PV + battery installations120 MWhclean power generated9,100+app downloads
Commercial feasibility for a digital-twin concept in atmospheric science
Selected as a Breaking Barriers Award recipient at the Entrepreneurship Centre, Cambridge Judge Business School. Worked on a commercial-feasibility report for an early-stage digital-twin idea from the National Centre for Atmospheric Science and the University of Cambridge.
Digital twinearly-stage conceptFeasibilitycommercial reportNCASatmospheric scienceCambridgeinnovation ecosystem
Research context→Market evidence→Commercial feasibility
Predicting heavy-crude flow behaviour under thermal conditions.
Problem
Yield point and viscosity influence how heavy crude can be transported and processed, but their nonlinear thermal behaviour is difficult to model reliably.
What we did
Built a three-stage pipeline combining feature engineering, Gradient Boosting and SHAP analysis against controlled rheometer observations.
Result
R² 0.9627 for yield-point prediction and R² 0.8428 for apparent viscosity.
Impact
Shows how accurate, explainable modelling can support engineering judgement and more efficient thermal processing decisions.
Environmental, social and governance analysis in financial and investment contexts.
Professional capabilityAdvanced Data Analytics
Data preparation, analysis, visualisation, modelling and evidence-led decision support.
PostgraduateMSc Finance & Data Analytics
University of Stirling · finance, machine learning and empirical analysis.
Technology commercialisationEnterpriseTECH
Cambridge Judge Business School · research-to-market and venture proposition development.
Professional membershipBCS
Professional Member of the Chartered Institute for IT · British Computer Society.
Research networkEuropean Alliance for Innovation
Member of a European community connecting research, technology and applied innovation.
05 · Data environments
From global datasets to enterprise systems.
Experience spans financial and startup intelligence, energy-system data and the architecture required to operate information reliably at institutional scale.
Particularly relevant where regulation, infrastructure, capital or operational complexity make the quality of decisions consequential.
01Energy, utilities & net zero
Smart energy, enterprise systems, market innovation and transition infrastructure.
02Financial services & digital assets
Markets, ESG, tokenisation, investment intelligence and regulated data.
03Government & public systems
Data capability, GovTech, policy evidence and accountable intelligent systems.
04Technology & data products
Product strategy, commercialisation, analytics and explainable machine learning.
05Research & higher education
Research-to-market, deep-tech assessment and innovation readiness.
06Commerce & consumer markets
Customer intelligence, e-commerce, sales measurement and revenue growth.
07 · Selected perspectives
Reading the systems behind the headlines.
Short analytical directions connecting policy, infrastructure, markets and technology.
Germany · AI sovereignty
Europe is building an industrial AI stack of its own
Soofi S and Germany’s €1 billion Industrial AI Cloud point to a wider contest over compute, open models, industrial capability and technological sovereignty.
The UK’s call for evidence asks whether regulation remains fit for AI and other data-intensive technologies—making data architecture a strategic and policy concern.
Large compute investments are colliding with grid, connectivity and water constraints. The central question is how infrastructure capital can build durable local capability.
Selected datasets, projects, platforms and professional ecosystems
Datasets, organisations, platforms and professional ecosystems connected to my work and experience.
GOV.UKGovernment programme
United Kingdom government
Energy innovation
MicrosoftEnterprise systems
crunchbaseStartup intelligence
BloombergFinancial data & ESG
Data analytics
BCSProfessional membership
European Alliance for InnovationProfessional network
ICMLT 2025Helsinki · Finland
CCGCONF 2025Vienna · Austria
Cambridge Judge Business SchoolEnterpriseTECH
10 · Programmes and capacity building
Get prepared.
Courses and organisational programmes translate the same expertise into structured capability building for governments, public institutions, executives, professionals and technical teams.
Engage
Let’s talk about what you are working on.
Available for select paid advisory engagements, defined projects, retained support, capacity-building programmes and senior contract or leadership opportunities across government, public institutions and industry—share the problem, opportunity or outcome you have in mind, and how you think we might work together. Every message is read personally and considered case by case.
