As a DataOps and MLOps Lead at PeiGo, I lead and develop analytical strategies through automation of data pipelines, management and deployment of productive machine learning models, and development of trending technological components. I have successfully implemented multiple data and ML solutions for various business domains, such as e-commerce, logistics, and marketing, using AWS cloud services and tools. I also received the AWS ABW Grantee award in 2023 for my innovative and impactful work on data and ML projects.I have a Bachelor of Engineering degree in Computer Software Engineering from Universidad de Los Andes, where I gained knowledge in process automation models, organizational structures, and TI architecture design. I also have skills in research, Java, and English, which I use to communicate effectively with my team and stakeholders, and to explore new technologies and methodologies. I am passionate about solving complex problems and creating value with data and ML, and I am always eager to learn and grow in this field.