محمد هريدي

• Working with a team of 10 analysts to define, design, and automate KPI monitoring and analysis through Power BI dashboards, ensuring comprehensive and accurate data representation.
• Regularly engage with stakeholders to review their performance against set goals, evaluate their KPI profiles, and provide actionable insights for continuous improvement. Supported in improving Business Excellence teams KPIs by 15%, on average, resulting in improved CX.
• Create compelling and interactive Power BI dashboards, providing stakeholders with real-time access to performance status, insights on gaps, and recommendations for improvement. Developed 10 dashboards that cover the domains of digital transformation, HR, IT, and Marketing.
• Designed and automated 40+ KPIs that cover end-to-end business processes.
• Developed 5+ data pipeline, using Microsoft Fabric suit, that scrape data from company’s websites to enrich performance management dashboards.
• Develop robust models to track performance over time, accounting for changes in staff, KPIs, and targets to ensure continuity and accuracy in performance evaluation.

• Leading a team of 5 analysts to build and maintain the BI infrastructure for a telecom company, analyzing and leveraging large and complex datasets across multiple domains.
• Co-designed and implemented the BI infrastructure, including the data warehouse, data marts, core ETL processes, and Power BI infrastructure, in an agile manner and within 1.5 years.
• Led and delivered 10+ analytical projects, starting from stakeholder analysis and business requirement gathering to problem formulation and proposal development.
• Perform statistical/exploratory data analysis and apply machine learning techniques (using Python) to develop predictive models that support strategic decision-making. For example, I have developed: a logistic regression model that predicts customer complaints, which improved customer support performance by 28%; 3 segmentation models (K-Means, DBSCAN, SOM) to group network faults, thus boosting fault-to-response time by 60%; and an anomaly detection system to auto-detect faults that improved operations KPIs by 10%.
• Interpret and integrate data from multiple sources, visualize and communicate findings using Power BI, and provide actionable insights and recommendations to stakeholders. For instance, I have Reduced field operations’ OPEX by 30% and increased field operations’ performance by 25% with analytical projects.
• Collaborate with cross-functional teams to deliver data analysis projects—in the domains of Telecom, Finance, IT, Field Operations, and Customer Support.
• Develop an in-depth understanding of the business and its main KPIs and design new KPIs/KBIs when needed. Introduced 2 new KPIs that bridged the gap between customer experience and operations and saved time in investigating customer complaints.
• Automate KPIs reports generation and develop dashboards in Power BI while ensuring accuracy, consistency, and on-time delivery. Developed, and currently maintaining, 20+ compelling reports and analytical/operational dashboards.
• Develop and optimize Power BI dashboards/reports by following the best practices of data modeling, DAX queries, and Power Query to enhance the user’s interactive experience.
• Design, implement, and optimize complex SQL queries and stored procedures to retrieve information from large data sets
• Design and optimize ETL processes, using Talend DI, Airflow, and Python, for data warehousing operations. Deployed over 15 robust data pipelines that streamline data on an hourly and daily basis.
• Develop and maintain data models, data marts, and dimensions.
• Ensure data integrity, accuracy, and completeness with robust quality management workflows.
• Conduct training sessions for internal and external stakeholders, when needed.

• Analyse and validate systems data, update records, and ensure data security.
• Perform data auditing to ensure its integrity and consistency.
• Define the framework and process flow of data management activities, which include: metadata management; data quality; reference data management; and master data management.

Managing and planning fuel logistics & electricity top-up-in behalf of Zain SD-in order to ensure continuous and cost-effective power supply to the customer’s sites.
• Support in managing logistics operations to distribute over 3 million liters to all of Sudan’s regions, on monthly basis.
• Providing logistical solutions and risk mitigation strategies to overcome the erratic operational conditions, thus achieving customer satisfaction by minimizing loss of revenue.
• Provide practical and cost-effective monthly plans for logistics operations.
• Provide professional analysis, evaluation, and reports of the sub-contractor’s KPIs to top management.
• Liaise with our customers to ensure mutual understanding and to effectively address their concerns, hence provide client-focused services.

• Support in managing logistics operations to distribute over 3 million liters to all of Sudan’s regions, on monthly basis.
• In charge of supervising our sub-contractor’s transportation fleet to distribute over 500K liters/month to 400 locations (telecom sites) in Sudan’s Eastern Region.
• Providing logistical solutions and risk mitigation strategies to overcome the erratic operational conditions, thus achieving customer satisfaction by minimizing loss of revenue.
• Analyze diesel generators and primary power sources’ performance to evaluate and forecast monthly fuel & electricity consumption.