Seven years building the systems that sit between raw financial data and the decisions that actually get made. Most of that time in Egyptian fintech — building reconciliation engines, CFO dashboards, and transaction monitoring tools that replaced manual processes people had given up fixing.
The work that changed things: I replaced a three-day manual bank reconciliation process with an automated Power BI model connected directly to Oracle EBS. Month-end reconciliation effort dropped by 80%. Close review cycles shortened by 35%. These were not incremental improvements — they were the kind of changes that free a team to do analytical work instead of data maintenance.
Key things I have shipped:
▪ End-to-end Python + Power Automate reconciliation pipeline — cut 80% of monthly manual effort at AMAN Holding
▪ CFO financial dashboard suite (revenue, expenditure, actual vs plan) — now used in weekly executive reviews
▪ Bank reconciliation model in Power BI connected to Oracle EBS — three days to under one hour
▪ Transaction monitoring rebuild with exception-flagging logic — 35% reduction in third-party resolution time
▪ GP profitability models segmented by industry, region, and banking partner — adopted by commercial leadership for pricing decisions
The finance background is not decorative. Seven years of AP, GL, month-end close, and Oracle EBS operations mean I understand the business logic before writing the first query. That combination — domain depth and technical output — is what makes the tools actually stick.
Core stack: Power BI (Desktop + Service), DAX, Power Query, SQL, Python (Pandas, NumPy, Scikit-Learn), Power Automate, Oracle EBS.More...