Yomi Popoola
About Yomi Popoola
Yomi Popoola is a Manufacturing Associate at Northvolt in Skellefteå, Sweden, with a strong academic background in mathematical and applied statistics. He has experience in data analysis and clinical trial methodologies, having worked in various roles including as a Statistician at Statistics Sweden and a Data Analyst at Engineers Without Borders Sweden.
Work at Northvolt
Yomi Popoola has been employed as a Manufacturing Associate at Northvolt since 2024, contributing to operations in Skellefteå, Västerbotten, Sweden. In this role, he applies his expertise in data management and analysis to support manufacturing processes. His responsibilities include collaborating with cross-functional teams and managing multiple projects to enhance efficiency and productivity within the manufacturing environment.
Education and Expertise
Yomi Popoola holds a Master's degree in Applied Statistics from Örebro University, which he completed from 2021 to 2023. He also earned a Master's degree in Mathematical Science from the African Institute for Mathematical Sciences in Tanzania, studying there from 2014 to 2015. His academic background is further supported by a Bachelor's degree in Pure and Applied Mathematics from Ladoke Akintola University of Technology, obtained from 2008 to 2014. He possesses advanced proficiency in statistical programming languages such as R and SAS.
Background in Data Analysis
Prior to his current role, Yomi Popoola gained valuable experience as a Statistician/Data Analyst Intern at Statistics Sweden in 2023, where he worked for five months. He has also served as a Data Analyst at AB Microfinance Bank Nigeria Limited from 2020 to 2021. His work experience includes a position as an Accounting Administrative Assistant at Ibadan Electricity Distribution Company in 2012. He has developed a strong foundation in clinical trial design and analysis methodologies.
Statistical Methodologies and Models
Yomi Popoola applies various statistical methodologies in his work, including the Generic Statistical Information Model (GSIM) for data management and the Generic Activity Model for Statistical Organisations (GAMSO) in statistical processes. He utilizes a modular framework based on the Generic Statistical Process Model (GSBPM) for producing official statistics. His expertise includes developing and implementing statistical analysis plans (SAPs) for clinical datasets and employing data manipulation techniques for large datasets.
Skills and Communication
Yomi Popoola demonstrates strong communication skills, effectively conveying complex statistical concepts to non-technical stakeholders. He exhibits excellent problem-solving and critical-thinking abilities, which enhance his capacity to work effectively in cross-functional teams. His experience in managing multiple projects simultaneously further underscores his organizational skills and ability to meet deadlines.