Ayodele Adepoju

Data Analyst - IT Data Warehouse Ops at Radiology Partners

Ayodele Adepoju began their work experience in 2013 at Schlumberger, where they initially worked as a Field Service Supervisor. In this role, Ayodele oversaw the expansion of the Chevron-GOM rig, acted as a liaison between the client and the team, monitored operations, and ensured project completion according to schedule. They then transitioned to the position of Senior Data Analyst, providing real-time performance assurance support for drilling and measurement jobs and analyzing post-event data to identify factors impacting operations and success rate. In 2017, Ayodele joined Colaberry as an ETL, SQL, and BI Developer, where they were responsible for transforming data into meaningful insights and facilitating better decision-making. Their role involved developing complex SSIS packages and communicating technical concepts to non-technical stakeholders. Ayodele is currently working at Radiology Partners as a Data Analyst in IT Data Warehouse Ops.

Ayodele Adepoju's education history begins with a Bachelor of Technology degree in Applied Geology from the Federal University of Technology Akure. The specific years of study for this degree are not provided. Later, in 2004-2006, Ayodele pursued a Master of Science (M.Sc) in Applied Geophysics from the University of Lagos.

In 2021, Ayodele enrolled in the Texas McCombs School of Business for a Postgraduate Program in Data Science and Business Analytics. This program lasted until 2022.

In terms of additional certifications, Ayodele obtained a Data Analytics certification from Colaberry School of Data Science & Analytics in June 2021. In February 2022, Ayodele became Microsoft Certified by completing the Azure Fundamentals course. Additionally, Ayodele completed the Data Engineering on Microsoft Azure course offered by Directions Training in March 2022. Lastly, in July 2022, Ayodele obtained the Microsoft Certified: Power BI Data Analyst Associate certification.

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Timeline

  • Data Analyst - IT Data Warehouse Ops

    January, 2022 - present