Results-driven M&E Analyst with extensive experience at YALI RLC EA, specializing in data analysis and visualization. Proven track record in enhancing program performance through capacity building and strategic data use. Adept at fostering a culture of evidence-based decision-making, leading to improved project outcomes and stakeholder engagement.
Overview
20
20
years of professional experience
Work History
M&E Analyst
YALI RLC EA
10.2022 - Current
Work closely with the M&E manager in establishing proper internal systems for project monitoring, quality assurance and evaluation as well as oversee management of accurate and complete PMP database including collecting, inputting and evaluating information and report to the COP and Client concerning progress towards PMP targets
Work with the M&E manager to conduct field audits and ongoing monitoring of RLC initiatives
Support the M&E manager in ensuring proper monitoring and evaluation is carried out at the impact, results, and activities levels, as well as tracking the F-indicators required by USAID
Support the M&E manager in the design of the RLC’s performance monitoring and evaluation effort by training the RLC staff on data collection and the importance of the M&E effort
Support the M&E manager in ensuring timely collection of monitoring and evaluation information
Support the M&E manager in overseeing internal communication on M&E progress and results
Support the M&E manager in preparation of quarterly M&E reports for the RLC administrative team, board and client
Support the M&E manager during the oversight of publication of the quarterly 'Impact Newsletter' highlighting success stories and results
Data Demand and Information Use Specialist
Christian Health Association of Kenya (CHAK)
Nairobi
09.2021 - 09.2022
Company Overview: Nairobi
Instill a culture of data demand and use, including the provision of routine high-level statistical analyses for program evidence-based decision making and adaptability
Develop and continuously update program performance dashboards for key program indicators and continuous quality improvement indicators
Strengthen use of visualization and analytics, at program county and facility level to improve program performance, data quality and use
Lead and conduct capacity building activities on data use and Data Quality Assurance/Quality Improvement in CHAK
Ensure DDIU Trend analysis are routinely disseminated and encourage use of them at both central, regional and health facilities' levels
Conduct data analysis for patient level data for abstract and manuscript development for presentation in local and international conferences, publications
Take lead in conducting data quality audit (DQA) at program, regional and facility level
Nairobi
Analytics Specialist
PALLADIUM
03.2017 - 09.2021
Working with the M&E Advisor to strengthen/develop a framework and system for health outcome measurement at the county and sub county levels
Working with the M&E Advisor and the data systems advisor to triangulate data from disparate county data systems
Conducting outcome measurement and Geospatial analysis for use in policy development, program planning and management
Lead the development of data analysis for information products and data dashboards
Work with the Sr.Data Use and Learning Specialist to support counties to: Continuously use data for quality improvement
Increase the use of gender and age-disaggregated data in particular, and inferential statistics in general for evidence-informed management of the program
Inculcate a culture of data demand and use within the CHMTs, including the provision of routine high-level statistical analyses
Develop the health County profiles to improve health policy and program decision making
Lecturer
GREATLAKES UNIVERSITY OF KISUMU
09.2016 - 03.2017
Teaching research and Biostatistics
Student supervision and mentorship in Research projects
Research development, documentation and dissemination
Consultant Biostatistician/Part-time Lecturer
University of Eldoret
08.2010 - 08.2016
Lecturing and Assessing students through continuous assessment tests and Main exams
Reviewing research proposals and advising accordingly
Developing statistical analysis plans
Advising on appropriate statistical techniques
Performing complex statistical analysis using appropriate statistical methods/software
Statistical report writing
General consultation on statistics in research (Design, sample size determination)
Designing of data collection instruments (Questionnaires, interview schedules)
Training on the use of statistical packages (Epidata, SPSS, EPI- INFO and STATA)
Personalized Statistical coaching
Biostatistician
AMPATH
01.2008 - 07.2010
Providing statistical advice and analysis to principal investigators
Developing statistical analysis plans for various studies
Advising on appropriate statistical techniques
Data Management in collaboration with Data managers
Performing complex statistical analysis using appropriate statistical software and methods
Contributing to study design as a member of the protocol team
General statistical consultation in research (sample size determination, study design and data analysis plans)
Statistician/Data Manager
MOH/NASCOP
05.2005 - 12.2007
Statistical analysis of a large-scale research studies/surveys
Statistical documentation and reporting
Developing Databases for various programs and surveys (EpiInfo/Access)
Data Management
Supervision of the data entry staff
Training of Data Officers on the use of statistical packages (SPSS & EPI-INFO, EPIDATA)
Fieldwork as Data supervisor
Education
Master of Science - Biostatistics
UNIVERSITY oF IBADAN
Nigeria
11.2004
Bachelor of Science - Mathematic- Statistics
UNIVERSITY oF NAIROBI
Nairobi
12.2002
KCSE -
ST JOSEPHS BOYS H. SCHOOL
KITALE
11.1996
KCPE -
KIKWAMETI PRIMARY SCHOOL
11.1992
Skills
Data analysis
Data visualization
References
Dr. George Kosimbei, Chief of Party, YALI RLC EA, +254722587390, george.kosimbei@yalieastafrica.org
Dr. Sam Wangila, M&E Director, CIHEB Kenya, +254714313112, swangila@yahoo.com
Dr. Festus Kelonye, Kibabii University, +254720563891, fkelonye@yahoo.com
Software
Very Good, Very Good, Very Good, Very Good, Good, Good