About

About

Muhuyi Erick

Research & Data Analyst

đź“Ť Nairobi, Kenya
đź“ž +254746797047
📧 muhuyierick467@gmail.com
đź”— LinkedIn Profile đź“Š Tableau Public Profile đź“„ Download PDF CV

Professional Summary

A detail-oriented Statistician and Researcher with 2+ years of experience leveraging Stata, R, SPSS, and Python to derive actionable insights from complex datasets. Proven ability to manage the full data lifecycle—from collection and cleaning to advanced inferential analysis and visualization—directly supporting evidence-based decision-making in public health and development research. Eager to apply and expand my skills in statistical modeling, artificial intelligence, and machine learning to solve complex problems and contribute to evidence-based decision-making with a data-driven team while progressing on my journey to become a proficient Data Scientist.

Work Experience

Research Analyst Officer III | African Population and Health Research Centre (APHRC)

November 2024 – March 2025 | Remote/Nairobi, Kenya

  • Executed advanced statistical analysis (multivariate regression, logistic modelling) on complex datasets using Stata to evaluate program impact and identify public health trends
  • Authored a comprehensive research report from data interpretation to visualization, with the manuscript currently under review for academic publication
  • Conducted impact evaluations using DiD and PSM methodologies to assess the causal effects of development interventions for program scaling
  • Designed interactive maps in QGIS and infographics in Data Wrapper to communicate spatial patterns and findings to policymakers and stakeholders
  • Managed a field data collection team, implementing quality control protocols that reduced data errors by an estimated 15% and ensured research integrity

Research Intern | African Population and Health Research Centre (APHRC)

May 2024 – November 2024 | Nairobi, Kenya

  • Conducted systematic literature reviews and authored scientific abstracts to establish the foundation for new research initiatives
  • Managed and cleaned large-scale datasets using Stata and Excel, ensuring robust data for analysis by the research team
  • Analysed qualitative data in NVivo, coding transcripts to identify key themes integrated into mixed-methods findings
  • Documented and archived research data using Nesstar Publisher to enhance data accessibility and reusability
  • Contributed to project reports and presented critical appraisals of statistical methods in journal clubs and workshops

Data Analyst Attaché | National Crime Research Centre (NCRC)

May 2023 – July 2023 | Nairobi, Kenya

  • Assisted in designing and developing research instruments and programming questionnaires for digital data collection
  • Executed the full data processing pipeline from collection and entry to cleaning and coding in SPSS for analysis
  • Performed preliminary data analysis, including descriptive statistics, and created visualizations for official reports
  • Applied missing data analysis and imputation techniques to preserve dataset validity and completeness
  • Managed the logistical preparation of data collection tools, including printing and serialization for field surveys

Technical Skills

Programming & Databases: Python (Pandas, NumPy, Scikit-learn), R, SQL, Stata, SPSS
Data Visualization: Power BI, Tableau, QGIS, Data Wrapper, Canva
Tools & Platforms: SurveyCTO, Kobo Collect, Google Colab, Kaggle, GitHub, NVivo, Nesstar
Analytical Methods: Impact Evaluation, Regression Analysis, Hypothesis Testing, Data Mining, Qualitative Analysis

Soft Skills

Problem-Solving & Analytical Thinking • Attention to Detail and Accuracy • Team Collaboration and Communication • Self-Motivated and Fast Learner • Project Management and Meeting Deadlines • Critical Thinking and Curiosity • Data Privacy Awareness • Ethical Judgement • Integrity • Adaptability • Continuous Learning

Education

Bachelor of Science in Statistics | Taita Taveta University
September 2019 – March 2023
Second Class Honours (Upper Division)

Professional Course in Data and Artificial Intelligence | Cyber Shujaa
September 2025 – December 2025

Certifications & Training

  • Data Governance Training - APHRC (Sep–Oct 2025)
  • Impact Evaluation Training - APHRC (June 2024)
  • GIS Training - APHRC (July 2024)
  • Qualitative Data Analysis using NVivo - Lumivero (August 2024)
  • Data Documentation Training - APHRC (June 2024)
  • Grants Proposal Writing Training - APHRC (April 2025)
  • Evidence Synthesis & AI in Research - APHRC (July 2023)

References

Available upon request