Mustafa Elsayed Email & Phone Number

United States

• Conducted QA for AI-based software utilizing large language models (LLMs) to cluster telecom subscribers and generate actionable insights for each cluster, ensuring high-quality outputs.• Enabled the Business team to leverage the data warehouse efficiently and cost-effectively through theoptimization of SQL queries.• Oversaw the seamless migration of data and functionalities from diverse client systems, ensuring continuity and integrity.• Facilitated effective communication between stakeholders, project managers, and business partners to align project objectives and outcomes.• Conducted comprehensive data analysis activities, including data mapping, report analysis, and defining interface requirements.• Developed and presented insightful business reports and visualizations to senior management, aiding strategic decision-making processes.• Prepared and distributed analytical reports to the development team, monitoring and following up onimplementation progress and outcomes.• Built numerous dashboards and reports for both executive and operation levels at some of the top Telecom companies in africa using power bi.• Designed and built foundation tables , data marts in an ongoing SID model project for one of the top telecom companies in the middle east using erwin/ hiveql.

Khartoum State, Sudan

• Lead the data science team to develop data science use cases that assist the decision makers to take the right decision.• Manage the development of data mining / machine learning platform that assist the data scientist to create data science models easily. • Work closely with business teams to get new insights that help in making the right business decisions.• Set clear goals and questions, so data scientists can apply different data mining algorithms like customer segmentation and churn prediction. • Collaborate with Analytics team to ensure the integrity and availability of required data, with the right definitions and optimum structure, to be suitable for building all types of data models. • Prepare and maintain robust processes for developing data mining models.• Develop the required data science models and business insight reports as required by the business. • Make a presentation and sessions to the promising data models for different users to ensure the delivery of goals and ideas in a professional way.

• Developed and delivered periodic reports for different business department Using big data eco system as well as Oracle.• Developed new dashboards in Tableau to enhance data reporting, including gathering key metrics and transforming raw data into actionable insights.• Created business analysis reports that satisfied key business requests, using Pl/sql / HiveQL / Impala / pyspark.• Managed the transformation of all periodic and Ad-hoc reports to the new Self-service system (Tableau).• Developed new data marts/models that served different business areas Using Pyspark/Tableau prep Builder/Talend open studio. • Developed well defined business data model that meets all the business requirements.• Regular data quality check with other teams / stakeholders like RA, Quality and DWH. • Trained the end user on the available self-service tools through conducting sessions and ensuring they are utilizing the tool.• Worked closely with Big Data and DWH team to ensure they implemented the business rules in the existing data models and capture all data sources needed.

• Designed a churn prediction model using machine learning techniques.• Automated most of the old periodic reports.• Analyzed, incorporated new business rules to Oracle packages ETL process to support changes as required by the business. Provide business and technical solutions to different business applications. • Interacted with customer as needed to better define and understand reporting requirements.• Delivered projects, tasks within the expected time frame of the reviewed time frame with manager and customer with the expected quality or above the expected quality. • Built Dashboards using Power Bi/OBIEE.

Sudan

• Built churn prediction model for the GORUP HR Department.• Performance analysis of the employees. • Productivity enhancement by analyzing the daily/monthly tasks. • Identified and documented detailed business rules and use cases based on requirements analysis. • Recommended data standardization and usage for protection of data integrity. • Used business intelligence tools to produce periodic reports and polished presentations, highlighting findings and recommending changes.

Sudan

• Built dashboards and reports requested by Zain and Astellia using Tableau/Power BI. • Extracted and transformed data from multiple sources and loaded it to destination using Talend Open Studio / SSIS. • Designed and handled new databases based on the requirements.

Sudan

• Automated periodic reports in a self-service dashboard using Power BI• Performed customer segmentation using machine learning algorithms that helped the business better understand and target their customers.• Built churned prediction model that helped a lot in increasing customer’s loyalty.• Built revenue forecasting model.• Gathered and acted on customer’s complaints to ensure that customers are satisfied.• Managed the Business Staff and premises.