Open to opportunities

Kom Denoo

@komdenoo

Message

I am a machine learning engineer delivering production-ready AI and data solutions.

Kenya

Message

What I'm looking for

I seek a collaborative role applying production ML and MLOps to real-world problems, using cloud deployment and BI to drive measurable business impact while growing technical leadership and mentorship skills.

I am a data scientist and machine learning engineer with 3+ years building production ML models and business intelligence solutions that drive measurable business impact.

At SenseTime I designed and deployed CNN-based image classification models that improved defect detection accuracy by 20%, implemented YOLOv5 and Faster R-CNN for real-time object detection achieving 90% precision, built XGBoost and Random Forest models that increased marketing campaign engagement by 15%, and developed BERT-based sentiment analysis pipelines while reducing model training time by 30% through hyperparameter tuning and parallel processing.

Previously at Pefric I created interactive Power BI dashboards that reduced stock-outs by 20%, automated financial and operational reporting saving 40% of time monthly, and led A/B pricing experiments that increased revenue by 10%; earlier roles used SQL and Python to optimize service delivery and automate data collection, cutting manual work and improving retention.

I work across the ML lifecycle with a focus on scalable, production-ready solutions using Python, SQL, cloud MLOps (AWS SageMaker, Azure ML), Docker/Kubernetes, Spark/Hadoop and BI tools; I hold a BSc in Statistics and am motivated to apply AI to real business challenges.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

SenseTime

Feb 2025 - Present (6 months)

Designed and deployed CNN-based image classification models for industrial quality control, improving defect detection accuracy by 20% and implemented YOLOv5/Faster R-CNN for real-time detection achieving 90% precision. Reduced model training time by 30% through hyperparameter tuning and parallel processing and built XGBoost and BERT pipelines to boost marketing engagement and sentiment insights.

Python CNN XGBoost BERT Hyperparameter Tuning

Business Analyst

Pefric (EA) Limited

Jun 2022 - Feb 2025 (2 years 8 months)

Created interactive Power BI dashboards for sales and inventory management that reduced stock-outs by 20% and automated financial/operational reporting to save 40% of monthly time. Analyzed purchasing trends and led A/B pricing experiments that increased sales conversion by 15% and revenue by 10%.

Power BI SQL Dashboarding Process Automation A B Testing Reporting Stakeholder Management Python

Junior Business Analyst

BBOXX Capital Limited

Mar 2022 - Jun 2022 (3 months)

Researched energy consumption patterns using SQL to optimize service delivery by 18% and produced subscription trend reports contributing to a 12% improvement in customer retention. Automated data collection with Python scripts, reducing manual work by 35% and improving operational efficiency by 20%.

SQL Python Reporting Data Automation

Brand Analyst

Globe Track International Limited

Jan 2021 - Jan 2022 (1 year)

Developed sentiment analysis pipelines and real-time dashboards that cut analysis time by 40% and informed PR strategy via competitive benchmarking. Monitored campaign KPIs and provided insights that improved audience engagement.

NLP Dashboard Design Competitive Benchmarking KPIs Tableau