Edward Eniang

Modernized enterprise data strategy by architecting standardized data governance controls across cloud systems,
improving data integrity and reliability for downstream reporting by 35%. Designated as Subject Matter Expert (SME) for AI/LLM Governance, developing frameworks for the secure and compliant integration of Large Language Models within business operations.

Modernized enterprise data strategy by architecting standardized data governance controls that improved data integrity and downstream reporting reliability by 35% and automated EDA to cut manual reporting lead times over 50%.

Engineered personalized recommendation and time-series forecasting models that increased platform user engagement by 20%, optimized marketing resource allocation by 25%, and improved customer retention by 20%.

Architected and deployed automated ML pipelines for 3D seismic segmentation and object detection, improving model accuracy by 15% and enabling real-time processing of petabyte-scale datasets while reducing production downtime via MLOps best practices.

Activities and societies: Maintaining full-time professional career alongside studies.

Pursuing a Bachelor of Science in Data Science while working full-time in AI/ML, expected completion in August 2026.