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Hi, I’m Denis Koome, a machine learning engineer and data scientist based in Nairobi, Kenya. I have over three years of hands-on experience building and deploying ML models, predictive analytics, and BI-driven insights to solve real-world business challenges. I currently contribute to SenseTime (Hong Kong, remote) as a Machine Learning Engineer, designing models and pipelines that deliver measurable performance improvements. I enjoy turning complex data into actionable intelligence, from NLP pipelines to computer vision and predictive analytics. I thrive in cross-functional teams, love practical experimentation (A/B testing, model deployment, and automation), and aim to deliver impactful, data-informed decisions that drive growth and efficiency.…Hi, I’m Denis Koome, a machine learning engineer and data scientist based in Nairobi, Kenya. I have over three years of hands-on experience building and deploying ML models, predictive analytics, and BI-driven insights to solve real-world business challenges. I currently contribute to SenseTime (Hong Kong, remote) as a Machine Learning Engineer, designing models and pipelines that deliver measurable performance improvements. I enjoy turning complex data into actionable intelligence, from NLP pipelines to computer vision and predictive analytics. I thrive in cross-functional teams, love practical experimentation (A/B testing, model deployment, and automation), and aim to deliver impactful, data-informed decisions that drive growth and efficiency.

Denis Koome

Data Scientist, AI Engineer, AI Strategy Consultant, +5

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Hi, I’m Denis Koome, a machine learning engineer and data scientist based in Nairobi, Kenya. I have over three years of hands-on experience building and deploying ML models, predictive analytics, and BI-driven insights to solve real-world business challenges. I currently contribute to SenseTime (Hong Kong, remote) as a Machine Learning Engineer, designing models and pipelines that deliver measurable performance improvements. I enjoy turning complex data into actionable intelligence, from NLP pipelines to computer vision and predictive analytics. I thrive in cross-functional teams, love practical experimentation (A/B testing, model deployment, and automation), and aim to deliver impactful, data-informed decisions that drive growth and efficiency.…Hi, I’m Denis Koome, a machine learning engineer and data scientist based in Nairobi, Kenya. I have over three years of hands-on experience building and deploying ML models, predictive analytics, and BI-driven insights to solve real-world business challenges. I currently contribute to SenseTime (Hong Kong, remote) as a Machine Learning Engineer, designing models and pipelines that deliver measurable performance improvements. I enjoy turning complex data into actionable intelligence, from NLP pipelines to computer vision and predictive analytics. I thrive in cross-functional teams, love practical experimentation (A/B testing, model deployment, and automation), and aim to deliver impactful, data-informed decisions that drive growth and efficiency.

Available to hire

Hi, I’m Denis Koome, a machine learning engineer and data scientist based in Nairobi, Kenya. I have over three years of hands-on experience building and deploying ML models, predictive analytics, and BI-driven insights to solve real-world business challenges. I currently contribute to SenseTime (Hong Kong, remote) as a Machine Learning Engineer, designing models and pipelines that deliver measurable performance improvements.

I enjoy turning complex data into actionable intelligence, from NLP pipelines to computer vision and predictive analytics. I thrive in cross-functional teams, love practical experimentation (A/B testing, model deployment, and automation), and aim to deliver impactful, data-informed decisions that drive growth and efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Swahili

Advanced

Work Experience

Senior Machine Learning Engineer at SenseTime

February 1, 2025 - Present

Designed and deployed CNN-based image classification models for industrial quality control, improving defect detection accuracy by 20%. Implemented YOLOv5 and Faster R-CNN for real-time object detection in surveillance systems, enabling automated inspection workflows and achieving up to 90% precision. Led model optimization and deployment in production, building data pipelines and automation that reduced manual review time and improved reliability.

Junior Business Analyst at BBOXX Capital Limited

June 30, 2022 - September 17, 2025

Researched energy consumption patterns using SQL-based analyses, optimizing service delivery and reducing operational costs. Produced data-driven reports to inform budgeting and forecasting, supporting data-backed strategic decisions.

Brand Analyst at Globe Track International Limited

January 1, 2022 - September 17, 2025

Researched consumer sentiment from social media and surveys to assess brand perception. Designed real-time sentiment dashboards, cutting analysis time by 40%, and conducted competitive benchmarking to guide client PR strategies and KPI tracking.

Machine Learning Engineer at SenseTime

February 20, 2025 - Present

Designed and deployed CNN-based image classification models for industrial quality control, improving defect detection accuracy by 20%. Implemented YOLOv5 and Faster R-CNN for real-time object detection in surveillance systems, achieving 90% precision. Built predictive analytics pipelines using XGBoost and Random Forest to analyze customer behavior, increasing marketing campaign engagement by 15%. Developed NLP sentiment analysis pipelines using BERT-based models. Improved pipeline efficiency by 30% through hyperparameter tuning and parallel processing.

Business Analyst at Prefic (EA) Limited

February 1, 2025 - September 17, 2025

Dashboard Development: Created interactive Power BI dashboards for sales and inventory management, reducing stockouts by 20%. Data-Driven Insights: Examined purchasing trends to identify up-sell opportunities, increasing sales conversion by 15%. Process Automation: Automated financial and operational reporting, saving 40% of monthly time. A/B Testing: Led pricing strategy experiments, resulting in a 10% revenue uplift. Stakeholder Collaboration: Standardized data collection and reporting to improve accuracy across teams.

Junior Business Analyst at BBO XX Capital Limited

June 1, 2022 - September 17, 2025

Customer Analytics: Researched energy consumption patterns using SQL, optimizing service delivery by 18%. Reporting: Drafted subscription trends contributing to a 12% improvement in customer retention. Operational Efficiency: Evaluated field service data to reduce delays by 20%. Automation: Created Python scripts to automate data collection, reducing manual work by 35%.

Brand Analyst at Globe Track International Limited

January 1, 2022 - September 17, 2025

Sentiment analysis: Collected and assessed social media and survey data to gauge brand perception. Dashboard Design: Designed real-time sentiment tracking dashboards, cutting analysis time by 40%. Competitive Benchmarking: Conducted industry comparisons to guide client PR strategies. Campaign Monitoring: Tracked KPIs for PR campaigns, providing insights to improve audience engagement.