Mohamed Tawfik Mohamed Abdelwadowd

Lead customer analytics and CRM modelling across automotive and food & beverage, turning insights into campaigns and retention actions. Built purchase-propensity targeting that generated 740+ leads and 77 vehicle sales in two months. Developed RFM, K-means and KNN sales and aftersales segmentation for eight automotive brands. Built churn models for automotive and retail; automated Costa Coffee loyalty KPI reporting across Kuwait, Saudi Arabia, Qatar and Oman using Streamlit, Python, SQL, Redshift and S3.

Built IT infrastructure and the company website; advised Five Guys, Caribou Coffee Kuwait and Meysan on IT and analytics needs. Developed C# surveys in Dooblo SurveyToGo and analyzed Caribou app feedback, creating RFM segments and customer pain-point insights for brand repositioning.

Led the SME app backlog and coordinated controls that closed a fraud gap involving devices issued without payment. Built CVM predictive applications and customer-retention campaigns; analyzed network traffic, complaints and survey text. Service improvements were associated with an 8% rise in customer satisfaction. Used Python with Salesforce to assess wins and losses, identify stalled opportunities and forecast year-end target attainment.

Progressed from MIS Analyst to Senior MIS Analyst and Data Scientist (from 2020), building analytical databases, ETL and reporting for retail and automotive. Applied RFM, cohort analysis and campaign measurement to acquisition, retention and win-back. A retail churn model supported recovery campaigns associated with a 2% reduction in quarterly churn.

Supported systems analysis and business requirements for healthcare applications, drawing on a software development and database foundation.

Degree assessed by ZAB as comparable to German master’s level (Statement of Comparability, 18 February 2025).