Senior Product Analytics Manager AI Systems Architect BI & Intelligence Specialist Senior Product Analytics Manager AI Systems Architect BI & Intelligence Specialist
Senior Product Analytics & AI Systems Architect · Open to roles across US & EMEA

Adebayo
Paul Femi

I build the intelligence layer between raw data and executive decisions.

Seven years. Four industries. Three continents. From public health systems in Nigeria to fintech ops in the US, I architect AI-powered analytics that don't just report what happened but shape what happens next.

View my work GitHub ↗ Contact
7+
Years Experience
Across 4 industries & 3 continents
89
Incidents · Zero Failures
Multi-agent AI validated across 89 concurrent emergency scenarios
95%
Deliverability Rate
Messaging performance achieved at LexHive via A/B testing
15%
Retention Gained
Data-driven uplift at CIHP · national-scale health programme
Introduction

Beyond dashboards.
Into intelligence.

Most data professionals hand you a dashboard and call it done. I build the systems behind the systems.

Multi-agent AI pipelines, product intelligence frameworks, and operational analytics architectures that give leadership real clarity, not just real-time numbers.

With a B.Sc. in Physics from FUTA and an active MSc in Data Science, I bring rigorous analytical thinking to every layer of the stack, from ETL pipelines and SQL models to LLM prompt architecture and cross-functional performance strategy.

I've embedded intelligence into public health operations in Nigeria, led product analytics at scale in US fintech, built branded analytics programmes in the UK, and shipped open-source AI systems that benchmarked to production standards.

Currently operating at the intersection of product, data, and AI and open to senior roles across the US and EMEA.

Location
US & EMEA
Email
work@pauladebayo.com
GitHub
github.com/TechPaulFrey
LinkedIn
Adebayo Paul Femi
Education
B.Sc. Physics - FUTA, 2018
MSc. Data Science (In-View)
Status
Open to opportunities
Work History
Current
LexHive
Formerly Demandlane · United States · Remote
Senior Product Operations Analyst
  • Lead root-cause analysis of messaging performance issues such as deliverability, spam blocking, carrier failures, and drive implementation of solutions.
  • Monitor KPIs, including contact rate, remarketing, deliverability %, spam block rate, and conversion metrics to guide daily operations.
  • Apply AI/ML-assisted analysis to detect anomalies and uncover hidden performance patterns.
  • Design and evaluate A/B tests, translating results into data-backed optimisations for product and growth stakeholders.
2025 – 2026
Prominate
United Kingdom · Hybrid
Manager, Analyst & Communications
  • Operate as an authorised licensee delivering branded promotional and gifting solutions aligned with Prominate's standards.
  • Lead local market operations, project execution, client coordination, and performance reporting.
2023 – 2025
Western Union
Contract · Remote
Field Intelligence Officer
  • Conducted in-depth analysis at agent locations, evaluating brand visibility, agent knowledge, and customer satisfaction.
  • Gathered intelligence through mystery shopping and structured field observation methodologies.
2024 – 2026
ColouredSpaces
Nigeria · Concurrent remote engagement
Manager, Project Lead Analyst & Operations
  • Aligned sales, marketing, customer success, finance, and administration across the full customer lifecycle to drive growth.
  • Oversaw project planning, execution, and delivery, analysing to identify requirements, risks, and opportunities.
  • Developed and implemented operational policies, procedures, and strategies; monitored KPIs to assess performance.
2021 – 2023
CIHP
Nigeria
Data Analyst
  • Integrated M&E into routine project evaluation on the IRIS and PEARL projects at the national scale.
  • Developed data visualisation dashboards, reducing stakeholder reporting time by 20%.
  • Delivered a 15% improvement in retention and 15% increase in conversion rates through data-driven insights.
2019 – 2021
MTS Digitals
Nigeria
Data Analyst
  • Conducted data mining, modelling, and business/financial model creation for clients and product owners.
  • Built and maintained Power BI dashboards for KPI tracking; used SQL and Python for large-scale analysis.
  • Converted data into actionable insights by predicting and modelling future outcomes.
Impact & Results

Key achievements.

Current
LexHive
Formerly Demandlane
Product & Messaging Performance
Deliverability
95%
Achieved 95% deliverability rate through structured A/B testing across messaging campaigns, reducing spam block rate and improving carrier routing outcomes.
AI / LLM Optimisation
LLM ↑
Improved LLM response quality at LexHive by refining prompt architecture and applying AI/ML-assisted anomaly detection to surface performance patterns and guide model tuning.
2025 – 2026
Prominate
Manager, Analyst & Comms
Reporting Infrastructure
Automated Reporting
Always On
Built and deployed automated reporting channels that deliver live performance data to directors and stakeholders, enabling on-demand report access at any time without manual intervention.
Executive Dashboards
Real-Time
Designed and deployed stakeholder-facing dashboards giving directors full visibility into campaign performance, operational metrics, and KPIs in real time.
2024 – 2026
ColouredSpaces
Mgr. Project Lead & Ops
Operational & Commercial Impact
Cost Reduction
~$50k
Reduced operational costs by over $50 thousand in my first 9 months through process re-engineering, waste elimination, and resource optimisation.
Reporting Channels
Built
Established structured reporting channels across departments, ensuring consistent and transparent flow of operational intelligence to leadership.
Marketing Targets
Automated
Built automated forecasting models that generate data-driven targets for marketers, improving campaign precision, accountability, and marketing ROI.
Selected Work

Projects that
actually shipped.

AI Systems · Emergency Management · Open Source
NEMA Emergency Dispatch Planning System

Built a production-grade multi-agent AI system to coordinate national emergency dispatch across 8 Nigerian cities, handling 89 concurrent incidents, 3 operational shifts, and real-time cross-city resource conflict detection.

The architecture deliberately assigns specialised agents to distinct tasks rather than overloading a single model, proving that role-based agent orchestration outperforms monolithic LLM approaches on complex, time-critical operational problems at scale. Fully open-sourced for the AI and emergency management community.

Python Docker SwarmBench Harbor Multi-Agent AI GitHub
View on GitHub ↗
System Architecture
8
Cities Covered
89
Concurrent Incidents
3
Operational Shifts
0
Unhandled Exceptions

Each agent handles a distinct operational role - dispatch coordination, resource allocation, conflict detection, and shift handover - with no single model overloaded. Deployed and validated in a containerised environment against a structured multi-city incident corpus.

Open Source Multi-Agent Containerised Zero Exceptions
Click anywhere to see full case study →
Fintech · Fraud Detection · ML Systems · Risk Analytics
PayGuard - Transaction Risk Engine

Built a production-grade fraud detection and risk scoring system aligned with CBN, Visa, and Mastercard compliance frameworks. Combines an ensemble ML layer (XGBoost, Random Forest, Logistic Regression) with a deterministic rules engine and a 3-zone blend scoring model calibrated against four real-world fraud datasets.

Deployed as an interactive Streamlit application with single-transaction scoring, bulk upload analysis, KRI dashboards, and a Monte Carlo stress-testing module with configurable rule slip rates and VaR output.

Python Streamlit XGBoost Scikit-learn Ensemble ML Rules Engine Monte Carlo KRI Reporting
View on GitHub ↗
System Performance
0.97
ROC-AUC
4
Fraud Datasets
81
Tests Passing
3
ML Models Ensemble

Ensemble weights calibrated across PaySim, Credit Card, BAF, and Nigerian fintech data. Rules engine and ML scores blend across three risk zones - GREEN, AMBER, RED - with Monte Carlo VaR stress testing at configurable slip rates.

CBN Aligned Ensemble ML Rules Engine Nigerian Fintech
Click anywhere to see full case study →
E-Commerce · Retention Analytics · Python
E-Commerce Customer Retention: Cohort Analysis

Analysed customer retention trends for an e-commerce business by segmenting ~500,000 UCI Online Retail transactions into monthly cohorts. Identified drop-off points, systemic retention failures, and the best-performing acquisition periods to guide lifecycle strategy.

PythonPandasNumPy MatplotlibSeaborn Cohort AnalysisUCI Dataset
Key Finding
Sharp Drop
Most customers did not return after first purchase - a systemic retention issue
Dataset
500K+
Transactions from UK retailer, Dec 2010 – Dec 2011
Best Cohort
Nov 2011
Highest retention - linked to targeted promotions & product mix
Peak Acquisition
December
Seasonal spike in new customers driven by holiday promotions
Insurance · Regression Analysis · Excel
Insurance Rate Analysis & Insight Report

Analysed 1,338 customer records to identify the key drivers of insurance premium costs. Built a data story and agent guide using regression, correlation, and univariate analysis, answering management questions on gender, region, smoking, age, and BMI impact on rates.

ExcelPowerPoint Regression AnalysisCorrelation Univariate AnalysisBivariate Analysis One-Hot Encoding
Biggest Rate Driver
Smoking
+$23,848 per smoker, 4× higher on average than non-smokers
Avg. Customer Rate
$13,270
Across 1,338 records · Avg age 39 · Avg BMI 30.6
Per-Unit Cost Impact
+$339/BMI
Age +$257 · Children +$476 · BMI +$339 per unit increase
Highest Cost Region
Southeast
~$14,700 avg · Males pay ~10% more than females
Bike Share · Revenue Analytics · SQL · Power BI
E-Bike Analysis & Dashboard Development

Built an end-to-end analytics pipeline for Toman Bike Share, consolidating two years of ride data via SQL, enriching with cost tables, and delivering a Power BI dashboard covering hourly revenue, seasonal performance, profit margins, and rider segmentation. Concluded with a data-backed pricing strategy recommendation.

SQLPower BIExcel UNION JoinsRevenue Modelling Pricing StrategyRider Segmentation
YoY Growth
+24%
Total rides Year 0 → Year 1 · Casual riders growing fastest
Revenue Uplift
+18%
Projected annual revenue increase via strategic pricing adjustments
Peak Revenue Hours
8AM · 5–6PM
Commuter-driven peaks - target for surge pricing strategy
Registered Riders
81%
Of total rides · 75% of revenue from discounted membership pricing
Health Tech · Systems
MyCloudMedic Hospital Management System

Cloud-based and local server-based solution for hospitals, clinics, pharmacies, and laboratories. Contributed to data architecture, analytics, and system design at MTS Digitals.

Data Architecture Health Tech System Analytics
Visit Site ↗
Thought Leadership · Medium
AI Systems · Multi-Agent Architecture
What Happens When You Push a Single AI Past Its Limits: How I Built a Multi-Agent Dispatch System for Nigeria's Emergency Services

A deep-dive into why monolithic LLMs break under real operational pressure - and how role-based agent orchestration solves problems that single models can't.

Read on Medium ↗
ML · Product Thinking
What if the Most Accurate Model Isn't Always the Most Useful?

Accuracy is a metric. Usefulness is a decision. This piece unpacks when optimising for the wrong objective destroys value - and how to think differently about model evaluation.

Read on Medium ↗
Data Science · Fundamentals
The Physics of Data - Part 1

Drawing on a background in Physics to reframe how data behaves - patterns, forces, and the laws that govern how information moves through systems.

Read on Medium ↗
Engineering · Database Design
Learning Database Strategy & Cache Boundaries

A practitioner's notes on where databases end and caches begin - why the boundary matters more than either layer, and how to reason about it in real systems.

Read on Medium ↗
Technical Expertise

Tools & capabilities.

Daily Stack
Tools at the core of my day-to-day work
Power BI SQL Python Excel A/B Testing Statistical Analysis Dashboard Development ETL Pipelines Data Visualisation Cohort Analysis Prompt Engineering Multi-Agent Architecture Forecasting
Extended Toolkit
Tools I work with across projects & integrations
Databricks Apache Spark Docker Agent Orchestration SwarmBench / Harbor Predictive Modelling SAP S/4HANA SAP Analytics Cloud AWS Redshift & SageMaker Google Cloud Platform Microsoft Azure Microsoft Fabric Tableau Salesforce HubSpot Zoho CRM Mailchimp Customer Segmentation Funnel Optimization UAT Zapier · N8n · Converzate Agile / Scrum Lean / Kanban Business Process Re-engineering Stakeholder Management Jira · Asana · ClickUp Notion · Confluence Cloud Zero APIs
Credentials

Certifications &
qualifications.

01
Financial Modelling & Valuation Analyst (FMVA)® ↗
Corporate Finance Institute - Canada
02
Business Intelligence & Data Analyst (BIDA)™
Corporate Finance Institute - Canada
03
Product Analyst - SAP Hybris
Pro5
04
Monitoring & Evaluation
University of Washington
05
Business Analyst (In-View)
International Institute of Business Analysis
06
MSc. Data Science (In-View)
Postgraduate Programme
Corporate Finance Institute
47 Completed Courses
View Full Wallet ↗
Applied Machine Learning Algorithms
Data Analysis in Excel
Advanced Power BI
Data Prep for Machine Learning in Python
Fundamentals of Data Analysis in Excel
Statistics Fundamentals
Classification - Fundamentals & Practical Applications
Power Query Fundamentals
Data Science and Machine Learning Fundamentals
Regression Analysis - Fundamentals & Practical Applications
Modelling Risk with Monte Carlo Simulation
Power BI Fundamentals
Python Fundamentals
Power BI Financial Statements
Tableau Fundamentals
Tableau Trading Dashboard
Power Pivot Fundamentals
Loan Default Prediction with Machine Learning
SQL Fundamentals
Corporate & Business Strategy
Business Valuation Modeling Part I
Business Valuation Modeling Part II
Scenario & Sensitivity Analysis
Dashboards & Data Visualization
Presentation of Financial Information
PowerPoint & Pitchbooks
Budgeting and Forecasting
Monthly Cash Flow Modeling
Financial Planning & Analysis (FP&A)
Advanced Excel Formulas & Functions
Accounting Principles and Standards
Financial Analysis Fundamentals
3-Statement Modeling
Introduction to Business Intelligence
Macabacus Fundamentals
Math for Finance Professionals
Capital IQ Fundamentals
Corporate Finance Fundamentals
Excel Fundamentals - Formulas for Finance
Accounting Fundamentals
Reading Financial Statements
Professional Ethics
Financial Modeling & Valuation Analyst (FMVA)®
Business Intelligence & Data Analyst (BIDA)™
Get In Touch
Let's build
something smart.
Email
work@pauladebayo.com
LinkedIn
Adebayo Paul Femi
GitHub
github.com/TechPaulFrey
Availability
Open to opportunities
Timezones
PT · ET · GMT · CET