mais dahbour

At Cherry-tech, I validate nutrition plan generation algorithms against clinical standards using real patient data across 20+ health conditions. I also calculated and validated macronutrient values for 400+ meal plans and built a data validation pipeline to catch clinically unsound outputs before deployment.

I've built machine learning projects spanning stroke risk prediction, Chicago crime forecasting, and retail sales forecasting. My work compares models on clinically meaningful metrics, handles class imbalance and structural breaks, and turns results into deployment and resource-allocation recommendations.

As a nutritionist at Royal Medical Center, I conduct intake assessments and behavioral analysis to create actionable nutrition plans for clients. I bring healthcare domain knowledge together with Python, predictive modeling, clinical data analysis, and data validation.