SENIOR DATA ANALYST (AI CONTENT STRATEGY)
Nendo
Nairobi
- Architected data quality frameworks for processing terabytes of content, increasing annotation consistency by 30%.
- Developed classification models with 85% accuracy to identify harmful content and trends, ensuring safe and trustworthy data outputs.
- Executed high-fidelity A/B testing and model evaluation methodologies to identify hallucinations and improve product safety.
- Key Projects at Nendo:
- Swahili Sentiment Analysis Engine: Built a custom NLP pipeline using Python to analyze consumer sentiment across 500k+ social media data points, achieving a model accuracy of 88%.
- Annotation Efficiency Dashboard: Developed an automated SQL-based tracking system that visualized annotator performance in real-time, reducing project turnaround time by 20%.
- Predictive Risk Modeling: Designed a machine learning model to flag "high-risk" content categories before human review, improving safety team efficiency by 15%.