Zion Pibowei

Zion Pibowei's work experience includes roles at Periculum (2022 - present) as Principal DS / Head of Data Science, Global AI Hub (2022 - present) as AI Community Lead, GAMES Consort (2019 - 2022) as Data Science Practice Lead, Head, Programme Operations & Technical Strategy, Senior Data Science Consultant and Lead Faculty, and Data Scientist | Faculty, Hackmakers (2022 - present) as AI Mentor, WasteCoin (2020 - present) as AI Engineer & Lead Technical Strategist, BotUp (2018 - present) as Full-Stack Cloud AI Consultant, IAUE, Port Harcourt (2018 - present) as Graduate Research Assistant, Michael Okpara'\u200b University of Agriculture Umudike (2017 - present) as Graduate Research Assistant, Cledop West Africa Limited (2015 - present) as Quantitative Researcher and Drilling Fluids Engineer / Computational Analyst, and DEME Group (2015 - present) as QHSE-S Analyst.

Zion Pibowei has an extensive educational background. Zion obtained their BSc (Honours) Physics from Renaissance University in 2016. Zion then continued their education at Ignatius Ajuru University, where they completed an MSc in Applied Mathematics and Statistics in 2019 and is currently pursuing a PhD in Mathematics (Decision Theory and Optimisation), which they are expected to complete in 2024. In addition, Zion Pibowei holds numerous certifications, including IBM Certified AI Engineering Professional, IBM AI Enterprise Workflow Specialist, Advanced Data Science Specialist - IBM, Advanced Machine Learning and Signal Processing, Advanced Machine Learning with TensorFlow on Google Cloud Platform, IBM Certified Applied AI Professional, IBM Certified Microservices Specialist, IBM Certified z/OS Mainframe Practitioner, Machine Learning with Apache Spark, Machine Learning with TensorFlow on GCP Specialization, Data Science with Scala, Applied AI with Deep Learning, Big Data with PySpark, Deep Learning with Keras, Deep Learning with TensorFlow, Deep Neural Networks with PyTorch, Developing and Deploying Microservices with Microclimate, Fundamentals of Scalable Data Science, IBM Cloud Private: Deploying Microservices with Kubernetes, and IBM Microservices Fundamentals.