1 Dorcas Njeri Kareithi Main +254723855078 Nairobi, Kenya [email protected]https://ke.linkedin.com/in/dorcaskareithi Objective: To become an all rounded Researcher, with an aim to specialize in data collection, management and analysis. I advocate for use of data in decision making and data to guide policy. I devote myself to advancing fields of statistical computing. Summary: Analytical, results‐driven person with skills in: Study Design: Sample calculation (simple random sampling, two stage cluster sampling, multi- level sampling), writing and formulating Theory of Change, writing design protocols, evaluation protocols, sampling design and Monitoring and Evaluation Frameworks. Data Collection: Designing survey tools, handling and collecting large and confidential sets of data, Data collection using electronic and methods, Data entry validation in CommCare , Survey CTO and ODK. Data Management: Database design using MS-Access and SQL, Data Management using stata and python, conducting data quality checks, producing discrepancy reports, data entry, importing, management and cleaning, merging and appending data sets, manipulate data and summary reports, producing visualization elements Data analysis: implementing statistical procedures, parametric statistical methods, non‐ parametric statistical methods, mathematical and econometric modelling, longitudinal analysis, survival analysis and joint modelling. Producing data visualization tools such as Dashboards, plots, pie and bar charts and info‐ graphics. I am proficient in Stata, Python, R, SAS, Excel and SPSS (Analysis), Excel, PowerBI and Tableau (Visualization) Mapping: Use of QGIS Map Generation, Basic Geospatial Analysis Latex writing skills: Use of Latex for publications, Reports and Presentations Current interests: Statistical Computing and Data Science: Use of Machine learning and predictive to improve analytics and deliver faster results (R programming, python and integration with QGIS). Just completed a Udacity Data Science Course. Mentorship in Statistics: Bridging the gap between experienced and seasoned statisticians and budding statisticians to ensure that the future of statistics in Africa (especially Kenya) is full of skilled and experienced statisticians Education: 2014 –2016: Master of Science in Biometry, University of Nairobi 2010 – 2013: Bachelor of Science in Economics and Mathematics, Kabarak University ‐ Second Upper division 2006 – 2009: Kenya Certificate of Secondary Education, St. Francis Girls High School, Mang’u - B+ Relevant Experience: Manager-Study Design and Analysis, CoCreation Hub Feb2019-Current Projects Involved - re:learn
‐ Dispensers for Safe Water (DSW) Kenya, Uganda and Malawi
Main software used: Excel, R, Stata, QGIS
Main Tasks and Accomplishments:
Coordinating analysis activities across all Evidence Action – Africa Region programs on
the Projects above in Kenya, Nigeria, Uganda and Malawi.
Analyze data on key topics to inform programmatic decision‐making in the areas of
operations, finance, coverage and adoption.
Compose reports ranging from Pre‐Analysis Plans to Analytical Results / Write‐ups
Provide key analytical and knowledge inputs for academic and nonacademic conference presentations, articles, policy briefs, memos and major proposals
Develop Pre‐Analysis Plans and protocols for year‐wide projects and statistical
analyses done
Develop and do more in‐depth analyses to inform program decisions; specifically rainfall effect on adoption rates, Promoter gender effect on adoption, effectiveness of training one vs two teachers, cost effective community sensitization methods for deworming children
Contribute to geographic expansion decisions, and program improvements through
the collection and analysis of key demographic and geospatial data
Msc Research Scholar, International Centre for Insect Physiology and Ecology (ICIPE)
Jan 2015‐March 2016
Project Tile: An algorithm for data reconstruction using published articles; an application on
insect life tables (currently under Review for publishing).
For my masters project, I extensively studied types of life tables, the type of data collected for
life tables, the structure of life data, models used on insect life tables, models used to describe
the various developmental stages of insects in order to develop an algorithm used to
reconstruct incomplete insect life tables given outputs and sample sizes. The algorithm, once
published, is to be used in ILCYM, a program that used insect life tables and uses models fitted
to predict occurrence of insect pests. The algorithm is written in R programming.
Statistician and Researcher, Bramble Consultants
March 2013~ Current
Projects involved:
- Socio‐Economic and Environmental Impact of Kindaruma Hydro‐electric Reservoir on the communities of Kiambere Sublocation in Embu County, Kenya. Contact: [email protected]
- Gikonyo, M., Niassy, S., Moritz, G., Khamis, F., Magiri, E., & Subramanian, S. (2017).
Resolving the taxonomic status of Frankliniella schultzei (Thysanoptera: Thripidae)
colour forms in Kenya – a morphological‐, biological‐, molecular‐ and ecological‐based
approach. International Journal of Tropical Insect Science, 37(2), 57‐70. Contact:
