Ahmed Zidane

Heading the Merchant Analytics & Data Science team focusing on Merchant Experience, Product & Operations on the platform.
Key focus: Merchant Acquisition and Onboarding, Merchant Finances, Merchant Products, Merchant Delivery App, Assortment and Menu Experience, Merchant Engagement and Growth, Key Account Management, Retail Inventory Management, Order Fulfilment, Enterprise Merchants and Differen

Lead the Data Science team focusing on Merchant Products, Merchant Operations and Key Account Management

Lead the Analytics team for the Customer, Courier & Rider Support domain working closely with both Product and Operations.

Lead the team responsible for providing analytical support, feature experimentation and discovery in Location and Home Screen teams, Focused on APAC, Eastern Europe & Nordic countries brands, operating in 21 countries

Worked as Senior Product Analyst at Delivery Hero.

Provided analytical support for Designing Driver Incentives Logic & Product tools for markets / Been part of the Surge Factor feature task force / Researched new dispatch technologies / Pre-book improvements from the backend (dispatch logic & configurations) and the front end (user experience) / Researched new Routing APIs like Google, Daimler, GraphHopper etc.. to determine what is the best use c

Lead the Analytics efforts responsible for all captain (driver) performance analytics; setting the necessary KPIs and targets to achieve the demand (trips) target. Devised, post analysed, and optimised incentives spend on supply initiatives to improve acquisition, performance stretching, and retention costs. and analyzed the customer-base’s behaviour to predict their trend, and built a linear regr

Developed ad-hoc and dynamic reports focusing on Customer Value Management. Profiled target groups to launch various campaigns and applied segmentation, while taking part in the database back-end operations of certain activities to insure proper reporting and data integrity.

May 2020

Mar 2018

Undergraduate Courses Highlights:
Data mining; Business Intelligence; Database Management; System analysis and Data Modeling; SPSS; E-Commerce; Statistics; Quantitative Business Analysis and Linear Programming; Operational Research; Operation Management; Networks and Security; Intro to CS; Intro to AI.