Esona Sisulu

• Trained and evaluated NLP models, improving data annotation quality and AI performance. Adapted to changing guidelines and tools in a fast-paced remote environment. Collaborated with cross-functional teams on AI safety and reliability initiatives.

house_prices

Built regression models (Linear, Random Forest, XGBoost, MLP) with cross-validation, achieving accurate price predictions

layoffs

Cleaned and standardized dataset via SQL pipeline; analyzed trends by company, industry, country, and year to provide actionable insights

Insurance_prediction

Built and tuned ensemble ML models, optimized hyperparameters, and deployed the final model via Flask API, demonstrating end-to-end machine learning workflow