Raghda Emad Ziada

Data ScientistFull Time

• Job Details:o Developed “Recharge Prediction Model” using Gradient Boosting algorithm that predict customers who will recharge in the next 2 days. o Developed “Customer Complaint Prediction Model” using Gradient Boosting algorithm that predict customers who will contact the call center daily to complain and the reason for the complain to be able to handle them proactively o Assisted in developing “Dual-Sim Carriers Prediction” model using Random Forest algorithm that predict customers who carry dual sim cards. o Developed clustering model using GMM to divide Etisalat Stores into groups used in setting stretch targets and identifying each store real selling potential o Developed a risk scoring model to estimate the risk for each customer to determine customer eligibility on installment plans. o Worked with different departments on different analytical reports.

Data Science & Big Data Analytics StudentFull Time

Warehouse & stock handling InternInternship

• Job Details:Ongoing Projects in Lean Warehousing: • Warehouse capacity utilization through lean concepts application. • Improvement in TR/TO Management. • Improvement of lead times in warehouse.