Data & Research Analyst  ·  Abuja, Nigeria

Daniel Ifenna

Analytical rigour. Strategic clarity. Executive-ready insight.

I design and deploy end-to-end data solutions, from predictive modelling and machine learning to BI dashboards and strategic written reports, that help organisations across Africa make better decisions, faster.

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6+
End-to-End Projects
95%
Best Model Accuracy
5
African Markets Analysed
4.22
GPA · Covenant University

Who I Am

About Me

I am a data and research analyst based in Abuja, Nigeria, with a cross-disciplinary background combining quantitative methods and international policy. My academic training in International Relations from Covenant University (GPA 4.22) taught me to ask the right questions, and my technical training in R, SQL, Power BI, and machine learning gives me the tools to answer them with precision.

I work across the full analytical pipeline: data ingestion and cleaning, exploratory analysis, statistical modelling, and the design of executive-facing dashboards and written reports. I have delivered projects spanning financial services, real estate portfolio optimisation, HR analytics, and retail intelligence.

I have co-authored a book chapter in ICT Revolution in Africa (Kendall Hunt) quantifying internet penetration trends across five African regions. I am currently building a Conflict Trends Dashboard for West Africa using 10+ years of geospatial conflict data.

I am actively seeking a mid-level analyst or data scientist role where I can contribute rigorous, evidence-based analysis to teams that value precision and impact.

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Technical Toolkit
R ProgrammingPower BITableauSQL · MySQL tidyverseggplot2Random ForestLogistic RegressionDecision TreeKNNROSEcaret · rsample
Domain Experience
Financial ServicesReal EstateHR AnalyticsRetail / E-CommercePolicy ResearchICT Development
Certifications
IBM Data Analyst · CourseraData Analytics · NIITStakeholder Management

Portfolio

Selected Projects

★ Featured Engagement

Pan-African Real Estate Portfolio Optimisation

Designed a unified multi-variate analytical framework for AfriHabitat Properties Ltd. across five strategic African cities: Lagos, Nairobi, Accra, Johannesburg, and Kigali. Applied correlation analysis, regression modelling, and performance benchmarking to identify ROI drivers, classify developer efficiency, and produce an FY 2026 capital allocation roadmap for the client's leadership team.

RPower BICorrelation AnalysisRegression ModellingPortfolio Benchmarking
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11.2%
Nairobi ROI: Top Market
5
African Cities Covered
11.9%
Top Developer ROI (EcoHomes)
100+
Properties Analysed

Key finding: Nairobi's mid-market residential and mixed-use assets deliver the portfolio's highest ROI (11.2%), while Johannesburg and Kigali commercial stock shows yield compression from ageing inventory. Accra and Johannesburg lead in market growth rate (11.5% and 10.8% respectively), signalling the strongest long-term reinvestment opportunity across the portfolio.

#
Project
Tools
Key Metric
Link
02
Bank Customer Churn Prediction
Designed and deployed a machine learning churn prediction system for a financial institution experiencing significant customer retention challenges. Compared Regression Tree (86.1% accuracy) vs. Decision Tree (83.6%) models, selected the superior model, and identified key churn drivers: customer age, product count, inactive membership, and geography, to enable targeted retention campaigns.
RRegression TreeDecision TreeTableau
86.1%Model Accuracy
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03
Loan Approval Prediction System
Built a Random Forest classifier to predict loan approvals using applicant income, credit score, loan amount, DTI ratio, and employment status. Addressed severe class imbalance (83.6% rejected vs. 16.4% approved) using ROSE oversampling before training, producing a highly reliable model with strong sensitivity and specificity across both outcome classes.
RRandom ForestROSE OversamplingFeature Scaling
95.3%Accuracy · Kappa 0.91
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04
KongaGro Mart: Retail Sales Analysis
Conducted an in-depth analysis of weekly sales data across 45+ KongaGro Mart stores, examining the impact of seasonality, economic indicators (CPI, fuel price, temperature), and markdown strategies on revenue performance. Identified Store 20 as the top performer ($301M) and Store 33 as the lowest ($37M), delivering targeted operational recommendations and an interactive Power BI dashboard for store management.
RPower BIEDACorrelation Analysis
45+Stores · $301M Top Store
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05
HR Attrition Analytics: Palo Technology Ltd.
Analysed a decade of workforce data for Palo Technology Ltd. (1,470 employee records spanning 2012–2022), covering attrition patterns across departments, roles, age groups, education levels, and ethnicity. Found the highest attrition concentrated in Technology and Sales, with compensation gaps, insufficient training investment, and short tenure identified as the primary drivers. Delivered a Power BI dashboard and written recommendations for a targeted HR retention strategy.
Power BIData ModellingDemographic Analysis
237Attritions Analysed
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06
ICT Revolution in Africa: Internet Penetration Study
Independent quantitative research study examining internet penetration and mobile adoption across five African regions (2000–2023) using World Bank data. Applied CAGR calculations, correlation analysis (r = 0.886 between GDP per capita and internet adoption), and logistic regression to project adoption rates to 2050. West Africa recorded the highest growth rate (CAGR 27.6%). Findings co-authored with a PhD supervisor and published in ICT Revolution in Africa by Kendall Hunt Publishing.
RWorld Bank DataLogistic RegressionCAGR Analysis
27.6%West Africa CAGR
Publication →

Capabilities

Skills & Expertise

Analytics & Machine Learning
R Programming
Predictive Modelling
Statistical Analysis
EDA & Data Cleaning
Feature Engineering
Visualisation & BI
Power BI
Tableau
ggplot2
Dashboard Design
Executive Reporting
Research & Data Management
SQL · MySQL
Policy Research
Hypothesis Testing
Stakeholder Comms
Cross-functional PM
📊
Predictive Modelling
Random Forest, Logistic Regression, Decision and Regression Trees, KNN, with hands-on class imbalance handling (ROSE) and model validation.
📈
Business Intelligence
End-to-end dashboard delivery in Power BI and Tableau, from data modelling to executive-ready interactive visualisations.
🌍
African Market Intelligence
Specialist experience analysing real estate, ICT penetration, and conflict trends across multiple African markets with policy-relevant outputs.
📝
Strategic Research & Writing
Published co-author and experienced report writer who translates complex quantitative findings into clear, actionable language for decision-makers.

Get In Touch

Contact

I am open to full-time analyst and data scientist roles, consulting engagements, and collaborative research projects across Africa and internationally. If you have an opportunity or simply want to discuss data, I would be glad to hear from you.

✉
Daniel.ifenna.daniel@gmail.com
✆
+234 707-502-3075
in
linkedin.com/in/danielifenna
⌥
github.com/daniel-ifenna
↓
Download CV (.docx)
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