As a Radio Network Data Analyst at MTN, I ensure optimal performance and efficiency of our radio network infrastructure. My role involves analyzing and interpreting data to enhance network quality, improve customer experience, and drive operational excellence.Key Responsibilities:• Data Collection and Analysis: Utilize advanced data analytics tools to process and analyze large datasets.• Performance Monitoring: Monitor network performance metrics and identify issues and areas for improvement.• Network Optimization: Analyze and optimize radio network parameters and configurations. Implement strategies to enhance network performance and collaborate on network upgrades.• Predictive Analysis: Forecast network traffic patterns and potential issues using predictive analytics. Develop models to predict future network behavior and address challenges proactively.• Reporting and Visualization: Create detailed reports and dashboards to visualize network performance. Prepare and deliver weekly reports of down sites, sharing insights with the CTO and stakeholders.Skills and Expertise:• Proficient in GSM, UMTS, LTE, 5G technologies, and data analysis tools (Python, R, SQL).• Strong understanding of RF principles, signal propagation, and network optimization techniques.• Excellent problem-solving skills, ability to troubleshoot and resolve network issues.• Strong communication skills, with experience in preparing reports and presentations.

As a Radio Frequency Data Engineer at Huawei, I was responsible for optimizing and modernizing radio frequency networks. My work focused on ensuring seamless integration and rollout of network projects, particularly in the areas of Modernization, In-Building Solutions (IBS), and network rollout.Key Responsibilities:• Modernization Projects: Led initiatives to upgrade and modernize existing network infrastructure, enhancing performance and capacity.• In-Building Solutions (IBS): Designed and implemented IBS to improve indoor network coverage and quality.• Data Collection and Analysis: Gathered and analyzed RF data to optimize network performance.• Performance Monitoring: Monitored key performance indicators (KPIs) to identify and resolve network issues.• Network Optimization: Conducted comprehensive analysis to fine-tune network parameters for optimal performance.• Reporting and Documentation: Created detailed reports and documentation to track project progress and network performance.Skills and Expertise:• Proficient in RF technologies and network planning tools.• Strong analytical skills for data-driven decision making.• Experience in network modernization and optimization techniques.• Expertise in designing and implementing In-Building Solutions (IBS).• Project management skills with a focus on timely delivery and quality.• Excellent communication skills for effective collaboration and reporting.

As a Data Analyst at Radman Intelligent Systems, I was responsible for extracting, analyzing, and interpreting complex datasets to support data-driven decision-making. My role was critical in identifying trends, generating insights, and driving strategic initiatives.Key Responsibilities:• Data Extraction and Preparation: Extracted data from various sources, cleaned and prepared it for analysis.• Data Analysis: Utilized statistical methods and analytical tools to interpret data and generate insights.• Reporting and Visualization: Created detailed reports and visualizations to communicate findings to stakeholders.• Business Intelligence: Provided actionable insights to support strategic decision-making and operational improvements.• Collaboration: Worked closely with cross-functional teams to understand their data needs and deliver solutions.• Performance Monitoring: Tracked key performance indicators (KPIs) and metrics to measure business performance.Skills and Expertise:• Proficient in data analysis tools such as Excel, SQL, Python, and R.• Strong analytical and problem-solving skills.• Experience with data visualization tools like Power BI.• Ability to interpret complex data and present findings clearly.• Excellent communication and collaboration skills.• Knowledge of statistical methods and business intelligence techniques.