Full-Stack Developer at WISPGate | Bridging the Gap between ISPs and Internet Consumers
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WISPGate
Data Scientist
June 21, 2026 – Present
epl-predictor
January 11, 2026 – Present
A Data Science project exploring EPL match prediction. Features web scraping, time-series feature engineering, and model training with Pandas and Scikit-learn.
View Projectbookzi
November 29, 2025 – December 16, 2025
An online digital marketplace with checkout.
View Projectmarketing_automation_dashboard
November 14, 2025 – November 15, 2025
Automates daily collection and reporting of marketing data (from APIs like Google Ads, YouTube, or Meta) and visualize results in Looker Studio.
View Projectwordpress-mpesa-manual-plugin
October 25, 2025 – November 1, 2025
This plugin collects mpesa payment details from woocommerce customers that chose to pay with mpesa till number
View Projectc4.5-decision-tree
March 11, 2025 – March 20, 2025
A high-performance and scalable Decision Tree (C4.5) classifier in Go. It allows users to train a C4.5 decision tree model and make predictions using the trained model.
View Projectcarbon-credits-with-blockchain
July 29, 2024 – August 6, 2024
This web-based application seeks to implement blockchain technology in trading carbon credits
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal development and exploration across various technologies, including data science, web development, and even blockchain. This indicates a proactive and curious individual. However, the target role is 'Data Scientist', and while there are relevant data science projects, the breadth of other projects (web development, blockchain, custom language) suggests a potentially broad interest rather than a focused deep dive into data science. The single current experience as a Data Scientist at WISPGate aligns with the target role, but without further details on responsibilities or achievements, it's hard to gauge the depth of fit. The lack of formal education or certifications in data science might also be a factor for cultural fit in a structured data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.