Fort Portal, Uganda

Data-driven insights, built for real decisions.

I'm Mujuni Michael, a statistician, Head of Research & Development, and Co-Director at NYABAMU Enterprises Uganda Limited. With a foundation in Economics and Statistics and over 5 years of experience, I bridge rigorous data analysis with the technology that puts it to work — from full-cycle M&E systems to AI-driven research tools.

Mujuni Michael
About

I'm a visionary leader and experienced statistician serving as Head of R&D and Co-Director at NYABAMU Enterprises Uganda Limited. With an academic foundation in Economics and Statistics from Kyambogo University, I bridge the gap between demanding data analysis and the technology built to act on it.

As a key architect of NYABAMU's strategic direction, I oversee the entire R&D lifecycle — from conceptualisation to market deployment — directing a team of researchers and developers so every product stays rooted in statistical integrity. That work has steered the organisation toward new frontiers in AI and SaaS, particularly in qualitative data intelligence.

Based inFort Portal, Uganda
RoleHead of R&D · Co-Director
Experience5+ years
Studies led5+ comprehensive studies
Skills

Statistical Analysis

  • Python, R, Stata, SPSS
  • MS Excel (Advanced)
  • RCTs & Difference-in-Differences
  • Propensity Score Matching
  • LogFrames & Theories of Change

Data Collection

  • Kobo Toolbox
  • SurveyCTO / Survey123
  • ODK
  • Baseline, midline & endline studies
  • Data quality assurance

Visualization & GIS

  • Tableau
  • Power BI
  • QGIS
  • Dashboards & policy briefs

Core Competencies

  • Strategic research design
  • Quant & qualitative modeling
  • Machine learning & AI integration
  • Project & team management
  • Data ethics & governance
Selected Work
Product · Qualitative Research

N-Transcribe

Played an instrumental role in the foundational development of NYABAMU's flagship AI-driven qualitative data tool — designing the statistical models behind it and ensuring its reliability and accuracy as it automates transcription and analysis of field research.

AI / SaaS Statistical Modeling
Outcome — Solves the cumbersome manual processing that used to bottleneck qualitative research.
Consultancy · M&E

Impact Evaluation & M&E Frameworks

Designs and implements full-cycle Monitoring & Evaluation systems, Theories of Change, and Results-Based Management frameworks with SMART indicators — applying RCTs, Difference-in-Differences, and Propensity Score Matching to isolate true program causality.

Kobo Toolbox SurveyCTO RCT / DiD / PSM
Outcome — Across 5+ studies, translated complex statistical output into dashboards and policy briefs that helped secure funding.
Research · Multi-Sector

Principal Research Lead, NYABAMU Studies

Designed, managed, and executed 5+ comprehensive studies spanning Agriculture, Education, Environment, and Health — delivering clients granular, high-fidelity data that informs critical business and policy decisions.

Survey Design Multi-Sector Data Fidelity
Outcome — Evidence base used directly in client business and policy decisions.
CSR · Environment

Clean Fort Portal & River Mpanga Clean-Up

Spearheaded the planning, instrument design, data collection, analysis, and reporting for this campaign held in partnership with AFRIYEA to mark World Earth Day.

Instrument Design Field Data Collection Reporting
Outcome — Full exercise report compiled in partnership with AFRIYEA for World Earth Day.
Education & Credentials
2018–2022 Bachelor of Economics and StatisticsKyambogo University, Uganda
Certificates
Work Readiness Program — ENABEL, PSFU, EU & FUE (2025)
Epidemiology, Biostatistics & Qualitative Research (EBQ) — MMU & Ghent University, Belgium (2024)
Youth Development in ICT Tools & Multimedia — UCC & UCUSAF (2024)
Census Enumeration Training — Uganda Bureau of Statistics, UBOS (2024)
Data Collection Training — VLIR-UOS FAST, MMU & Ghent University, Belgium (2023)
Membership — Uganda Statistical Society, USS (2020)

Have data that needs answers?

Whether it's a full-cycle M&E system, an impact evaluation, or a mountain of transcripts that needs structure — I'd be glad to talk it through.