At Seplat Energy, I digitalize production workflows and field data collection using Oracle DB, Python, SQL, and Power BI. My production surveillance dashboard enabled interventions that unlocked 3,800 incremental barrels of crude and $200,000 in revenue.
I also built a Python application that reduced well-production modeling turnaround time by over 90%, alongside a MILP-based scenario management application for optimizing gas routing and NGL recovery across joint venture assets.
Previously at Interswitch, I helped build a reconciliation platform serving 100,000+ customers across 20+ transaction systems and 10 products, reducing disputes by 25%. I also used PySpark on Hadoop to cut transaction-data archival time by 50% and automated settlement reporting for stakeholders.
Across energy, fintech, government, and AI projects, I combine data engineering, analytics, machine learning, and visualization to improve data quality and turn complex operational data into useful decisions.
