Kene Agbodike, PMP®

Technical Business Analyst at Spektrix

Kene Agbodike, PMP®, has a diverse work experience spanning various roles and industries. Starting in 2009, they worked as a Solution Architect Trainee at Abuja Connect. Kene then moved on to work as a Network Support at Nigerian Communications Commission. Following this, they worked as a Business Development Officer at Tandoz Investments Limited. In 2011, they joined LINKSOFT COMMUNICATIONS SYSTEMS LTD where they worked as a NOC Engineer, Transmission Engineer, and Project Team Lead until 2014.

From 2014 to 2018, Kene worked at Skye Bank Nigeria Plc, initially as a Head of Transaction Services and later as a Data Analyst and Project Manager. Kene then joined Polaris Bank Ltd. as a Business Analyst and later worked as a Project Manager and Data Analyst. At Wema Bank Plc., they served as a Data Reporting Analyst and Project Manager, and subsequently as a Business Data Analyst.

Most recently, Kene has been working at Collinson as a Data & Insight Business Analyst. More recently, starting in 2023, they have assumed the role of a Technical Business Analyst at Spektrix. Throughout their career, Kene has demonstrated their expertise in business analysis, project management, and data analysis.

Kene Agbodike, PMP®, has a Bachelor's degree in Telecommunications Engineering from Kwame Nkrumah University of Science and Technology, Kumasi, which they obtained from 2005 to 2009. Kene later pursued a Master of Science degree in Data Science from the University of the West of England, which they completed from 2021 to 2022. In addition to their formal education, Kene has obtained various certifications to expand their knowledge and skills. These include certifications in areas such as User Stories, Product Management, Technical Product Management, Business Analysis, Azure AI Fundamentals, Azure Fundamentals, Data Science & Analytics, Infographic Design, Azure CLI Essentials, ITIL Foundations Certification, Transact-SQL Querying, Business Intelligence Analysis, Python for Data Science, Power BI Data Analysis, and Azure Enterprise Data Analysis.

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