During my internship at Think Tank Business Solutions, I had the opportunity to design and implement a fully functional machine learning workflow that encompassed the entire machine learning lifecycle. This included data ingestion, preparation, model training, and deployment, ensuring a seamless transition from raw data to production-ready models. I also worked on optimizing the workflow for scalability, enabling continuous improvement through model monitoring and refinement post-deployment.I also had the opportunity to migrate this project from Gitlab CI/CD to Jenkins after some enhancements to the architecture and the overall workflow .