
Yusuf Jabes
@yusufjabes
I build predictive models, data pipelines, and decision tools that turn complex data into actionable business insights.
What I'm looking for
I've built predictive models, automated data pipelines, and decision-support tools for Somo Properties and the International Livestock Research Institute (ILRI).
At Somo Properties, I lead predictive analytics and data engineering for financial portfolios, building default-risk models, PostgreSQL data engines, and Power BI KPI dashboards that support leadership and board decisions.
At ILRI, I analyzed longitudinal agricultural data across seven East African countries and developed mobile-first profitability simulators and multi-country data platforms. My Python and SQL quality workflows reduced data discrepancies by 35% while maintaining more than 99% dataset completeness.
Experience
Work history, roles, and key accomplishments
Lead Data Scientist & Managing Director
Somo Properties Limited
Aug 2025 - Present (1 year 1 month)
Built econometric and statistical models in Python and R to analyze client financial histories and classify default risk tiers. Designed and maintained scalable database architecture in PostgreSQL, Python, and Excel, executing routine ETL processes and data mining tasks.
Data Scientist & Statistical Analyst
International Livestock Research Institute
Jan 2021 - Jul 2025 (4 years 6 months)
Applied time-series forecasting, regression analysis, and pattern recognition models to multi-year longitudinal datasets across 7 East African nations. Architected mobile-first econometric tools and profit calculators for non-technical stakeholders.
Education
Degrees, certifications, and relevant coursework
Presbyterian University of East Africa
Bachelor of Computer Science, Computer Science
2017 - 2023
Bachelor of Computer Science degree from Presbyterian University of East Africa, completed in 2023.
Njoro Boys High School
Kenya Certificate of Secondary Education (KCSE), Secondary Education
2013 - 2016
Kenya Certificate of Secondary Education (KCSE) from Njoro Boys High School, completed in 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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