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Data Science with 2+ years in AI, IoT, and analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst, Data Scientist, and ML Engineer with a strong engineering foundation (B.Sc. Electronics & Computer Engineering) and active pursuit of an M.Sc. in Al & Technology Management. 3+ years of cross-functional experience spanning IoT data pipelines, real-time analytics, statistical modeling, and end-to-end machine learning model development. Currently building production dashboards in Power BI and Tableau and authoring PySpark ETL pipelines at Infotrace Analytics. Proven track record: 85% fare-prediction accuracy on 50K+ records, 40% reduction in data preparation time, 25% product-adoption uplift, and a 1st-place hackathon win against 50+ teams. AWS Certified. Available for fully remote, asynchronous-friendly positions.
Nexford University, Washington DC
M.Sc. · Artificial Intelligence & Technology Management
February 1, 2026 – Present
Jomo Kenyatta University of Agriculture & Technology, Kenya
B.Sc. · Electronics & Computer Engineering
August 1, 2016 – June 30, 2022
Infotrace Analytics
Data Analyst Intern
February 1, 2026 – Present
Nairobi, Nairobi, Kenya
Hello Tractor
IoT Engineer Intern & Technical Customer Associate
September 1, 2023 – January 1, 2025
Nairobi, Nairobi, Kenya
Airline Fare Prediction Engine
June 1, 2025 – August 1, 2025
Built a predictive pricing model on 50,000+ flight records, achieving 85% prediction accuracy using Random Forest and XGBoost ensemble methods. Boosted model performance by 22% through systematic feature engineering and hyperparameter tuning, producing actionable fare forecasts.
AI-Powered Course Advisor Chatbot (RAG System)
May 1, 2025 – May 1, 2025
Developed a Retrieval-Augmented Generation system combining NLP and the OpenAI API, improving information retrieval accuracy by 40%. Won 1st place out of 50+ competing teams in a national hackathon.
EduRoutes: School Transport Optimization
April 1, 2025 – Present
Engineering a geospatial clustering platform targeting a 35% reduction in school transport costs across Nairobi, leveraging real-world routing data.
NVIDIA Deep Learning Institute - Getting Started with Deep Learning
NVIDIA
January 1, 2025 – Present
Data Scientist with Python Track
DataCamp
January 1, 2025 – Present
Intensive Program in Data Science & AI
KIEP-SKIES (World Bank-Sponsored)
January 1, 2025 – Present
AWS Certified Cloud Practitioner
Amazon Web Services
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from predictive analytics to NLP/RAG systems and geospatial optimization, indicates a broad interest and adaptability. Their experience in both personal and academic projects, alongside internships, shows initiative and a proactive learning approach. The pursuit of a Master's degree in AI and Technology Management, coupled with various certifications, aligns with a culture of continuous improvement and staying current with industry trends. The candidate's stated availability for remote, asynchronous-friendly positions suggests flexibility.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project achievements (e.g., 22% model performance boost, 40% data preparation time reduction). Their experience in client-facing roles (IoT Engineer Intern & Technical Customer Associate) suggests good communication and collaboration skills, crucial for translating technical insights into business value. The hackathon win also indicates teamwork and innovation under pressure. The candidate's ability to deliver weekly/monthly insight reports to senior management highlights their capacity for clear communication of complex data.