Monika Krumina
About Monika Krumina
Monika Krumina is a Machine Learning Engineer at Brambles, where she has worked since 2021. She specializes in model tracking, versioning, and serving using MLflow, while collaborating with product teams and stakeholders to align technical requirements with business needs.
Work at Brambles
Monika Krumina has been employed at Brambles as a Machine Learning Engineer since 2021. In this role, she contributes to the deployment and usage of MLflow for model tracking, versioning, and serving. She collaborates closely with product teams to translate business needs into technical requirements, ensuring that data science projects align with organizational goals. Additionally, she engages with stakeholders to confirm that their needs are met through effective data science solutions.
Education and Expertise
Monika Krumina holds a Master of Science in Data Analytics from The Manchester Metropolitan University, where she studied from 2020 to 2021. Prior to this, she earned a Bachelor of Science with Honours in Mathematics from the University of Dundee, completing her studies from 2015 to 2020. Additionally, she participated in a Summer Innovation Practice and Cultural Communication Program at East China University of Science and Technology in 2016, which lasted for 11 months.
Background
Monika Krumina has a diverse educational background that supports her role as a Machine Learning Engineer. Her studies in Mathematics provide a strong foundation in analytical thinking and problem-solving, while her Master’s degree in Data Analytics equips her with advanced skills in data interpretation and machine learning techniques. Her international experience in China further enhances her cultural communication skills, which are valuable in collaborative environments.
Professional Contributions
At Brambles, Monika Krumina has made significant contributions to the field of machine learning by implementing MLflow for model management. Her work focuses on ensuring that machine learning models are effectively tracked and versioned, facilitating smoother deployment and serving processes. She plays a crucial role in bridging the gap between technical teams and business stakeholders, ensuring that data-driven solutions are aligned with business objectives.