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Kipngeno Karnet, Msc

Kipngeno Karnet, Msc

Data Analytics Manager

Position: Research Assistant and M&E Specialist

Overview:

Brian Kipngeno Ngetich is a proactive research assistant and monitoring and evaluation (M&E) specialist with expertise in data science, applied statistics, and computing. With a strong foundation in both quantitative and qualitative research methodologies, Brian brings over three years of experience supporting M&E activities and research projects, primarily in the areas of data collection, statistical analysis, and program evaluation. He has successfully applied his skills across multi-country studies and community-based projects in Kenya.

Core Expertise and Skills:
  • Monitoring & Evaluation (M&E): Skilled in designing and implementing M&E plans, developing survey tools, and programming electronic data collection systems using ODK and Kobo Collect.
  • Quantitative & Qualitative Research: Proficient in statistical analysis (using SPSS, R, and Python), developing interview guides, and conducting focus group discussions and in-depth interviews.
  • Data Science and Statistical Programming: Experienced in using Python and R for statistical computing and data visualization, with foundational knowledge in artificial intelligence and predictive analytics.
Professional Experience Highlights:
  • Former Research Assistant for Ujamaa Africa, where he contributed to survey design, data collection, and statistical analysis for projects addressing social issues.
  • Data Clerk with the World University Service of Canada (WUSC) on the KEEP Project, conducting comprehensive household interviews and managing data using Kobo Collect. Education and Certifications:
  • Bachelor of Science in Applied Statistics with Computing, Karatina University
  • Ongoing Bachelor’s in Computer Science, University of the People
  • Certifications in Monitoring & Evaluation and Artificial Intelligence

Brian’s dedication to high-quality research, combined with his technical expertise and hands-on experience in data collection and analysis, makes him a valuable contributor to impactful research and M&E projects.