Jared Murundu
Student Intern en CYMMIT
Ciencia de Datos en The Co-operative University of Kenya
Kenia
¡Hola, soy Jared Murundu!
Student Intern en CYMMIT
Jared Murundu is a skilled Data Scientist and Researcher with a Bachelor’s degree in Statistics from Moi University and a Master’s degree in Data Science from the Cooperative University of Kenya. He holds multiple certifications in artificial intelligence, data analytics, and IT from top institutions and online platforms. Currently based at the Cooperative University of Kenya, Jared's research and professional work span Artificial Intelligence, Information Technology, and Cooperative Development. He brings a unique blend of technical expertise and sectoral insight, particularly in strengthening cooperative business models through data-driven strategies. Jared is proficient in Python, Java, R, SQL, STATA, Power BI, and Tableau, with demonstrated experience in statistical analysis, machine learning, policy research, and project implementation across sectors including healthcare, agriculture, education, and finance.
Experiencia
CYMMIT
Student Intern
October 2024 - Presente
As a Student Intern in Machine Learning Algorithms at CIMMYT (International Maize and Wheat Improvement Center), I contributed to the development and implementation of machine learning models aimed at improving agricultural outcomes. My role involved preprocessing and cleaning agronomic, climatic, and remote sensing datasets for analysis, as well as training and validating models for crop yield prediction, disease detection, and soil fertility assessments. I worked closely with data scientists and agronomists to apply both supervised and unsupervised learning techniques, and I evaluated model performance using standard ML metrics. Additionally, I supported the integration of these models into research workflows, contributed to technical documentation and reporting, and participated in research seminars and capacity-building sessions organized by CIMMYT’s data science unit.
The Cooperative University of Kenya
Research Assistant
March 2023 - Presente
Data Collection and Analysis
Gather, clean, and preprocess large datasets from multiple sources.
Perform statistical and computational analyses using tools like Python, R, or MATLAB.
Generate insights and visualizations using data visualization tools (e.g., Power BI, Tableau).
Literature Review and Documentation
Conduct systematic literature reviews
Summarize technical papers and provide annotated bibliographies or research briefs.
Assist in writing research proposals, academic papers, and grant applications.
Experimentation and Simulation
Record outcomes and analyze system performance under various test conditions.
Technical Reporting and Presentation
Prepare research reports, white papers, posters, and presentation slides for academic and industry events.
Contribute to academic publishing efforts and conference submissions.
Administrative and Logistical Support
Coordinate meetings, manage project timelines, and support collaborative research efforts.
Maintain research databases, software licenses, and project documentation.
Stakeholder Engagement (Optional)
Interface with industry partners, NGOs, or government agencies in applied research projects.
Support training sessions or demonstrations related to research outputs (e.g., AI models, software tools).
Educación
Certificaciones y Distintivos
No se agregó certificaciones o distintivos
Proyectos
WINRACK PROJECT
•https://idrc-crdi.ca/en/what-we-do/projects-we-support/project/catalyzing-womens-involvement-post-covid-19-recovery-throughResearch Assistant
The COVID-19 pandemic and efforts to control it have threatened livelihoods, introduced new workplace risks and made unstable work relationships even more precarious, especially for women. This project seeks to explore how COVID-19 has affected women’s work and health within the agricultural cooperative ecosystem in Kenya.
The research team aims to enhance knowledge on how economic changes resulting from COVID-19 disproportionately affect women and women’s health, and how recovery strategies can be inclusive, gender-transformative and health-promoting for women. The findings of the study will inform the design of a health financing intervention in cooperatives.
The project is expected to result in a 20% increase in women's membership in agricultural cooperatives and access to credit, a 20% increase in women’s access to healthcare services, the increased capacity of ten local organizations supporting cooperatives, and the strengthened institutional and human personnel capacity of cooperatives to enhance their performance.
This project is funded under Women’s health and economic empowerment for a COVID-19 Recovery that is Inclusive, Sustainable and Equitable (Women RISE), an initiative of IDRC, the Canadian Institutes of Health Research, and the Social Sciences and Humanities Research Council. Its aim is to support global action-oriented, gender-transformative research by teams of researchers from low- and middle-income countries and Canada.
Idiomas
Inglés
Profesional
Suajili
Nativo
Habilidades
Data Analysis
Artificial Intelligence / Machine Learning Related Activities