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Abdalraheem Mokhtar

Data Scientist

Based in Dubai, UAE

About

A results-oriented data scientist with a robust academic foundation and a passion for leveraging data to drive business impact. Experienced in leading projects across customer segmentation, churn prediction, price elasticity, and more, delivering actionable insights and innovative solutions.

Skills

Projects

Experience

Aug 2024 - Currently

Data Scientist @ Zain Sudan

Reaching out to business stakeholders to reframe their business problems as data science problems. Researching, analyzing, evaluating different data science use cases from technical and business value perspectives. Utilized machine learning to introduce new customer segmentation that aims to facilitate customer migration and CLV management. Conducting data science knowledge sharing sessions to ensure collaboration and mutual understanding across analytics team. Assisting with BI workloads as needed.

Aug 2022- Aug 2024

Data Science Executive @ GO Digital Services

Build and deploy machine learning models for real-time ride matching, ETA predictions, and dynamic pricing algorithms to optimize the platform’s efficiency. Optimize driver routing and fleet allocation through predictive analytics and geospatial modeling. Implement churn prediction models to identify at-risk customers and drivers, enabling targeted retention strategies. Design and execute A/B tests to evaluate the effectiveness of product features, pricing strategies, and promotions. Measure the ROI of data-driven initiatives, providing detailed performance insights to stakeholders.

Jan 2021 - Aug 2022

Customer Experience Data Analyst @ MTN Sudan

- Provide actionable insights to support strategic decision-making within the company. - Creating reports, visualizations, and dashboards to effectively communicate findings to different stakeholders. - Collaborate with cross functional teams to identify areas for improvements and optimization

Education

2014 - 2020

Statistics and Computer Science @ University of Khartoum

My major has equipped me with a unique blend of analytical and computational abilities. I have developed strong programming skills in languages such as Python, R, and Java, enabling me to automate data analysis and build data-driven applications. Additionally, I have gained expertise in data analysis, probability, and statistical methods, including hypothesis testing, regression analysis, and Bayesian statistics. I have also delved into machine learning and artificial intelligence, learning to develop algorithms for data-driven decision-making. Handling large datasets efficiently using technologies like Hadoop and Spark is another aspect of my training. Furthermore, I have honed my abilities in database management, data visualization, and problem-solving. Through real-world projects.