Essa Rafiq Zada

At Etisalat, I collected and organized company data, cleaned datasets, and prepared data for analysis and model training. I developed predictive and classification models using Python and algorithms including Linear Regression, Decision Tree, Random Forest, Naive Bayes, and XGBoost.

I used NumPy, Pandas, SciPy, Seaborn, Matplotlib, Scikit-learn, and PyTorch in data and machine learning workflows. My portfolio project descriptions include a Python telecom data automation and reporting tool and an analysis of customer usage and churn.