WAEL ABOULEZZ

• Leading the data department including data platform, data engineering, data science and analytics teams.
• Working with all business stakeholders and company executives to transform business objectives and company OKRs into data strategy that will help the company achieve target OKRs by building innovative data products, data models and data driven solutions to business challenges.

• Managed a team of 10+ data specialized engineers in the areas of data engineering, data science and data analytics, overseeing hiring, training, and professional growth of employees.
• Leading data engineering, data science and business intelligence functions.
• Building scalable data architecture to support business growth and strategic data projects.
• Leading data science and analytics strategy focusing on building predictive models that solve the most urgent business problems in supply chain, logistics, operations and ecommerce.
• Enforcing data culture and transforming data into the most appropriate way to facilitate decision making across all business functions to empower them take data driven business decisions.
• Developed demand forecasting AI solution using time series predictive model that in order to reduce waste and enhance stock availability.
• Developed fraud detection engine.

• Lead a local team of 15 data scientists, data engineers and data governance engineers.
• Worked as part of Vodafone group networks engineering department to deliver AI and data driven solutions to enhance network performance, detect network problems and recommend enhancement actions.
• Supported the company strategy to transform into smarter networks by adopting AI and machine learning.

• Supported company growth through development of various predictive & descriptive statistical models targeting business growth KPIs like customer retention, customer experience, customer profiling and customer churn.
• Supported marketing teams with LTV to CAC analytics for various acquisition channels.
• Developed customer churn prediction model and achieved 80% detection of churners.
• Worked on the operational reports of Halan's Fin-tech arm and developed its logic.
• Studied customer transactional, behavioral and demographic data to better predict customer value and enhance targeting and acquisition activities.

• Supported company digital transformation strategy implementation through the use of data science and AI to enhance customer engagement and enabling data driven decision making.
• Leveraged big data tools like Hadoop FS, PySpark, Hive and Impala to perform data preprocessing, preparation and modelling.
• Worked as a part of the COE team serving the whole company predictive use cases.
• Worked on the development of customer recharge predictive model.
• Developed employee attrition predictive model.

• Delivered 10+ projects & services for multiple mobile operators across 5+ countries.
• Designed technical solutions delivered to Vodafone UK, Vodafone Qatar, Vodafone Italy and Vodafone Ghana.

• Coverage and Capacity dimensioning for 2G/3G networks
• Indoor design for mega projects
• Solving network issues and optimize performance

Teaching and Research Focus:

• Probability and Statistics.
• Modelling and Simulation.
• Queuing Theory.
• Linear and Non-Linear Optimization.
• Stochastic Process and Markov Chains.