belal mostafa

Data Analytics Trainee

National Telecommunication Institute•  October 2024 - Present•  Egypt

1) Learn advanced data manipulation, functions, and visualization techniques in Excel. 2) Gain skills in SQL for database management, querying, and data extraction. 3) Build interactive dashboards and conduct business intelligence analysis using Power BI. 4) Master data visualization and storytelling through dynamic dashboards with Tableau. 5) Gain proficiency in Python for data analysis, including libraries like Pandas and NumPy. 6) Understand data cleaning and preparation techniques to ensure data quality. 7) Learn to interpret and present data insights to stakeholders effectively. 8) Collaborate on real-world projects to enhance teamwork and problem-solving skills. 9) Develop the ability to make data-driven decisions and enhance critical thinking skills. 10) Receive guidance on best practices in data analysis and visualization.

Real Time Analyst

Teleperformance•  September 2023 - Present

1) Monitor agent schedule adherence using real-time adherence software and call out non-adherent events to Operations. 2) Coordinate with WFM and other Intraday specialists on the same campaign to ensure continuity of coverage and distribution of up-to-the-minute statistical data about the day. 3) Work closely with Operations Management to assist them in enforcing schedule adherence and call time threshold guidelines for the campaign. 4) Provide historical reporting compilation as required by the campaign. 5) Inform Operations management so decisions can be made regarding OT, VTO, and off-phone activities with up-to-the-minute daily statistics.

Data Analyst

Robosto•  June 2023 - August 2023•  Egypt

1) Performing analysis to assess the quality and meaning of data. 2) Filter Data by reviewing reports and performance of stores. 3) Using visualization tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction. 4) Preparing reports for the management stating trends, patterns, and predictions using relevant data. 5) Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. 6) Work with management to prioritize business and information needs. 7) Locate and define new process improvement opportunities.