Mahmoud Mamdouh Abdulkhalik

• Analyzed banking KPIs, customer segmentation, and financial reports to interpret business metrics and validate
data accuracy within the finance sector.
• Designed data-driven dashboards to reflect business health, transforming complex financial performance indica
tors into actionable analytical insights.

• Designed and optimized automated data pipelines using Informatica and SSIS to process large-scale telecom
datasets into a centralized Data Warehouse (DWH).
• Managed data workflows within a Linux environment, leveraging shell scripting for automation and Git for
version control and collaborative development.
• Developed complex SQL procedures for high-volume data cleaning and transformation, ensuring data integrity
for business-critical KPI tracking.

• Studied and applied advanced AI algorithms and data analysis techniques to build predictive models and enhance
data-driven decision-making.
• Worked within a technical team to develop hands-on AI projects, gaining practical experience in the full data
science lifecycle from data exploration to model implementation.