David Chege

I am a motivated, detail-oriented data scientist with hands-on experience in data annotation, model evaluation, and applied machine learning. I combine a strong foundation in statistics and Python-based analysis with practical experience supporting AI systems used in production.

My background includes labeling large volumes of text, image, and video data to train and validate ML models, building regression and classification models using pandas and scikit-learn, and comparing algorithms such as Random Forest and LDA to drive business insights. I focus on data cleaning, feature engineering, and rigorous evaluation metrics to ensure reliable outcomes.

I thrive in collaborative, cross-functional teams and seek opportunities to apply my skills to real-world data challenges that deliver actionable insights and measurable impact.