Abanoub Eskander Ghally

Senior Business Intelligence EngineerFull Time

• Job Details:Built a model for stock market transaction validation and fraud detection, automating fraud pattern identification and compliance checks with insights visualized through Power BI. Conducted thorough data analysis and Python-based validation to ensure alignment with internal policies and global regulations. Developed Python scripts to enhance audit efficiency, reducing manual review time and automating 70% of the validation and assessment process. Implemented automated data validation and reconciliation using Python and Power BI with DAX, streamlining audit processes and delivering real-time insights. Deployed custom auditing models and DAX-driven visualizations to identify operational risks and address discrepancies effectively. Improved data flow using Databricks and Apache Airflow, ensuring reliable and timely data delivery.

Business Intelligence EngineerFull Time

• Job Details:Implemented advanced data visualization techniques utilizing Power BI and performed in-depth data analysis to drive comprehensive daily reports analysis for UK risk team • Collaborated closely with the financial risk analytics team in the UK to architect, develop, and provide ongoing support for robust data warehousing and business intelligence solutions. • Designed intuitive visualizations, including charts, graphs, and KPIs, to provide clear and actionable insights into sales performance, revenue trends, and customer behavior at Honda Center. Digital Analytics

Digital analytics specialistPart Time

• Job Details:Develop streamlined and automated approaches for gathering and delivering data, thereby reducing manual business processes where possible • Responsible for all aspects of data analysis, from meeting with regional managers to define and gather requirements through the delivery of insightful and powerful dashboards • Determine and create an optimal graphical display for critical measures, producing graphics and dashboard formats to convey process performance accurately and professionally. • Development of models to predict future volume and capacity needs. • Production of dashboards, KPIs, scorecards, executive decks, and exception tracking reports on a routine basis • Structuring of data to support drill-down analyses on process performance. • Analyze reporting requirements, extract and interpret data, and ultimately provide recommendations to management. • Participate in project teams and provide guidance on relevant metrics to support production needs.