I am seeking an independent review of my evidence portfolio. Each item is structured around the problem addressed, my personal role, the achievement, and the evidence available to independently verify the claim.
MC2 — Career Trajectory in Digital Technology (2022–Present)
Current field is a Big 4 Consulting Firm.
N.B. Started in banking in 2017 as an IT Support Engineer, but started officially in the data analytics space in 2021.
Problem: Demonstrating a genuine, upward trajectory toward leadership in digital technology, validated by senior figures independent of a single relationship.
My importance: I have progressed at a Big Four firm from Semi Senior (Sept 2024) to Assistant Manager (Sept 2025), moving from executing analytics work to owning end-to-end design of automation and reporting solutions.
Internal achievements (quantified):
- Led the ground-up development of Reconiq, a bank reconciliation and month-end close automation product, now in active production use with growing external commercial interest
- Led the design and build of a 26-dashboard ALCO (Asset & Liability Committee) reporting solution for a major African bank, improving financial process efficiency by 75%
- Built an Enterprise Risk Reporting solution unifying disparate data sources, resulting in multi-million-dollar cost saving
- Earlier in career: reduced card printer failure rate from 9.75 to 2 per month (26.4% yearly increase in cards printed); built dashboards contributing to a profit increase of over $4,000,000
External validation (three senior professionals, three separate organisations, independent of my employer):
- A data engineering leader (now Data & AI Engineering Technical Lead, Aviva) has followed my growth since he introduced me to my first data course, well before my current firm. Our relationship has included a public speaking platform he guested on in 2023, and, in 2025, co-panelling an international pan-African data conference together, representing our respective countries.
- A Chief Technology Officer has known my work since 2023, initially as someone I sought guidance from. More recently, he approached me directly for hands-on technical help with a WhatsApp API integration challenge on his own project, based on independent product work I had built (BizPulse) outside my employment.
- A senior banking IT executive who managed me early in my career, later gave a professional reference when I moved to my current firm, and subsequently engaged with me again as a client-side stakeholder when I returned to his organisation as part of a Deloitte delivery team.
Evidence: 2 promotion letters; 3 reference letters from senior professionals at 3 different organisations (Aviva, [CTO’s organisation], a major Nigerian bank), each independently corroborated by dated WhatsApp/email/LinkedIn evidence spanning multiple years, and in one case, three distinct professional relationships with the same referee across roughly a decade.
OC1 — Innovation: CCNI Platform (Dec 2025–Present)
Problem: A global virtual school (CCNI/CCBS, serving children aged 5–15 across multiple continents) had an entirely manual registration, payment, and class-assignment process, unable to scale as enrolment grew.
My importance: Sole architect and builder. I identified the operational failure points, designed the solution, and built the entire system independently, with no prior digital infrastructure to build on.
Achievement/outcome: Designed and deployed a complete end-to-end platform: online assessment, dual-currency payment processing (Paystack/Flutterwave), automated class assignment, automatic Google Classroom enrolment, PDF admission letters, student/teacher/admin portals. Currently live with 842 enrolled students and 621 registered parent accounts, actively maintained since launch (dated technical correspondence through July 2026).
Evidence: Letter of Recommendation from the organisation’s Coordinator; live dashboard metrics; dated WhatsApp correspondence showing architecture decisions, technical problem-solving (payment gateway integration), and ongoing post-launch maintenance.
OC2 — Recognition Beyond Occupation
OC2-1 — Rome Business School (2025–Present)
Problem: Students in data science and digital technology programmes need practitioners who can translate technical concepts into applied, accessible learning.
My contribution: Independently invited as Lecturer/Facilitator across multiple technical modules (Machine Learning, Python, Power BI, Data Ethics) across several cohorts since 2025.
Achievement/outcome: Consistent evaluation scores of 4.7–5.0 across cohorts.
Evidence: Reference letter from the Academic Director; combined teaching evaluations; email trail confirming 5+ distinct engagements over a year.
OC2-2 — Chartered Institute of Bankers of Nigeria (Nov 2025)
Problem: Banking sector professionals needed applied technical training on predictive analytics for risk decision-making.
My contribution: Independently invited by CIBN to facilitate a Continuing Professional Development session on Predictive Analytics and Decision Modelling.
Achievement/outcome: Session confirmed by CIBN to have enriched delegates’ knowledge base based on positive feedback received.
Evidence: Invitation letter and appreciation letter from CIBN.
OC2-3 — Global Ubuntu Data Network Panel (Nov 2025)
Problem: Limited pan-African platforms exist for discussing data and AI maturity with international representation.
My contribution: Invited to represent Nigeria as a panellist at the inaugural session, alongside senior data leaders from South Africa and the UK.
Achievement/outcome: Delivered substantive commentary on Africa’s data landscape; session recorded and publicly available.
Evidence: LinkedIn announcement naming panellists; YouTube recording of the session; host’s message thread confirming invitation and reaction to the delivered session.
IN PROGRESS — Not Yet Submitted as Formal Evidence (included for context/strategic advice)
BizPulse — AI WhatsApp Ordering Agent
Problem: Small business owners in Nigeria lose sales because they cannot respond to customer orders in real time when offline.
My contribution: Founder and sole technical architect. Identified the problem through direct fieldwork with informal retailers; currently building an AI-driven WhatsApp agent that parses conversational orders into structured, actionable data.
Current status: Actively in development. No live users yet, so I have deliberately not submitted this as OC1 evidence, given known guidance that early-stage, unproven projects weaken rather than strengthen an application. It currently appears only as forward-looking narrative in my personal statement.
Should I hold this out entirely until it has real users, or is there value in referencing it even at this stage, given it demonstrates continued innovation beyond CCNI?
SME Data Maturity Index (Research)
Problem: No structured, published benchmark exists for measuring data maturity among Nigerian SMEs.
My contribution: Designed and ran an original survey instrument; collected 85 respondent-level responses; built a scoring methodology.
Findings are being prepared for submission to TechCabal (a recognised Nigerian tech publication) for editorial publication. Not yet submitted, so not currently used as evidence anywhere in my application.
If published before I submit, would this be better positioned as additional OC2 evidence (thought leadership), or could it support OC4 (academic-style contribution) given the original research methodology involved?
I’d welcome candid feedback on criterion fit, strength of evidence, personal attribution, and anything that should be strengthened or reconsidered before submission.