Youssef Khalil

• Processed financial transaction datasets up to 200M+ rows handling complex multi-entity client data using
PySpark and Databricks improving accuracy of audit decisions.
• Delivered analysis-ready financial datasets across 25+ client engagements spanning 9 countries
maintaining audit-grade data quality and compliance standards consistently across every engagement.
• Processed and standardised financial data extracted from multiple ERP systems including SAP, Oracle,
Microsoft Dynamics, NetSuite and Sage handling varying data formats across client engagements.
• Surfaced and documented data discrepancies across client datasets delivering root cause analysis to audit
managers that directly prompted intervention and informed decisions on live client engagements.

• Designed and automated reporting solutions for a £30m+ manufacturing business — migrating 75% of
manual Excel workflows to scalable Power BI reports built from scratch, cutting reporting time by 60%.
• Optimised SQL query performance and automated data refresh schedules — ensuring dashboards
remained accurate and up-to-date without manual intervention across all reporting areas.
• Engaged with stakeholders across the business to define KPIs — cleaning and structuring source data,
building validated reporting logic, and presenting findings directly to senior management upon delivery.

• Conducted exploratory and statistical analysis using Python and SQL to identify retention patterns and
segment customer behaviour.
• Built predictive machine learning models that improved campaign targeting effectiveness by 15%.
• Presented analytical outputs to marketing, sales, and product teams translating them into business actions.