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Computer Vision, OCR, LLM Chatbots, Multi Agent Systems
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data scientist
Etisalat • Vollzeit
Jul 2025 - Present • 1 yr 1 mo
Built an end-to-end Customer Churn Prediction system on a 430,000-record telecom dataset, training and comparing Baseline, Decision Tree, and Random Forest models — achieving 97.27% accuracy and 93% F1-score on the churn class. • Applied feature engineering (AvgChargePerMonth, TenureGroup), SHAP explainability analysis, and developed an interactive Streamlit dashboard with real-time churn prediction, EDA visualizations, ROC curves, and SHAP waterfall plots