A deep dive into the implementation of MLOps and its impact on reducing technical debt in ML projects.
Exploring the use of ML classifiers in detecting anomalies and preventing fraud in e-procurement systems.
Insights on developing and deploying scalable AI models in production environments.
Leading the development of a scalable e-procurement platform with ML-based fraud detection, achieving 89% accuracy.
Implementing MLOps best practices to streamline machine learning model deployment, significantly reducing technical debt.
Created and deployed BI dashboards using SAP Analytics Cloud, increasing BI solution adoption by 30%.
Developed a machine learning model for product classification to optimize product repatriation in SAP S4/Hana.