Malak Khater

Collaborated with a student team on a predictive modeling project using Python, scikit-learn, and pandas. Contributed to building and evaluating predictive models and supporting internal knowledge-sharing sessions. Focused on data preparation, model experimentation, and results review with the team.

Developed a customer segmentation model using K-Means clustering in Python based on purchasing behavior. Translated clustering outputs into actionable insights for recommending targeted marketing strategies. Worked on model setup, evaluation, and interpretation of segments for business use.

Managed and organized operational data for volunteers, beneficiaries, donors, and activities, maintaining data accuracy and privacy. Built structured databases and prepared analytical reports and dashboards to support decision-making. Designed and implemented a zero-cost case-tracking workflow in Google Sheets/Apps Script, automating case registration, routing, and unique case code generation across multiple departments.