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JHUB Africa
Data Scientist
June 26, 2026 – Present
bridge-ai-kenya
June 4, 2026 – Present
BRIDGE-AI: Building Resilient Development with Generative AI in Education & Agriculture is a Horizon Europe Research and Innovation Action that aims to improve African rural societies by integrating GenAI-based solutions into agricultural optimisation and digital skills acquisition.
View Projectthika-rangers-nbcs26-analysis
May 27, 2026 – Present
Interactive batting & pitching analysis dashboard for the Thika Rangers Baseball Club's 2026 NBCS regular season.
View Projectfeed-flow
April 8, 2026 – Present
Feed Flow is the all-in-one platform built for livestock farmers across to track fee costs, log sales, and visualise your financial health all in real time, from any device.
View Projectdata.org-Financial-Health-Prediction-Challenge
January 27, 2026 – Present
data.org-Financial-Health-Prediction-Challenge — Dev.to repository
View Projectjuasamaki
November 6, 2025 – Present
JuaSamaki is a computer vision project designed to help aquaculture farmers automatically detect, measure, and estimate the weight of fish directly from images.
View Projectnyeri_rebels_stats_analysis
March 26, 2025 – April 10, 2025
Stats analysis of the Nyeri Rebels Men’s Softball team from the JKUAT Series 2025.
View Projectgalactic_data_manipulation
August 21, 2024 – August 22, 2024
galactic_data_manipulation — Dev.to repository
View Projectfood_delivery_time_prediction
January 12, 2024 – January 20, 2024
food_delivery_time_prediction — Dev.to repository
View Projectout_of_home_food_demand-_forecast
January 10, 2024 – January 10, 2024
food demand forecast"
View ProjectFullStack-Bookstore
June 27, 2023 – April 6, 2025
FullStack-Bookstore — Dev.to repository
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, some of which have a social impact focus (e.g., 'BRIDGE-AI'). The diversity of projects, from financial health prediction to sports analytics and aquaculture, suggests a broad interest in applying data science to various domains. However, the lack of diverse professional experience beyond a single current role and the absence of team-based project descriptions make it challenging to fully assess cultural fit for collaborative environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying data science concepts. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.