chukwumacharles

Served in a leadership role as Assistant Manager on multiple client-facing projects, overseeing project execution and delivery. Designed, developed, and optimized a fraud detection model for a tier-1 commercial bank using Python and TensorFlow, significantly reducing false positives by 20% and strengthening overall transaction security through model refinement and integration into existing infrastructure. Developed an advanced analytics framework and interactive PowerBI dashboard to measure and improve remote employee productivity, directly driving a 65% increase in satisfaction and performance through data-driven insights and visualizations. Mentored junior analysts and developers, providing technical guidance and fostering career growth. Designed and optimized data collection pipelines to ensure high data quality and consistency for accurate reporting and strategic planning. Engineered and optimized scalable data ingestion pipelines for a tier-1 commercial bank, processing high-volume transactional data using Python and SQL, which enhanced data availability and integrity for downstream analytics and fraud detection models. Implemented robust data quality checks and version control for schemas, ensuring data reliability and reducing processing errors by 15%.