Mr. Olamilekan Shobayo, Sheffield Hallam University, United Kingdom
Olamilekan Shobayo (AFHEA) is a dedicated lecturer at Sheffield Hallam University, where he imparts advanced knowledge in data management, healthcare data analytics, and big data technologies. With over seven years of teaching experience, Dr. Shobayo specializes in machine learning, artificial intelligence, and data analytics. His expertise encompasses R programming, SQL, Python, Tableau, HDFS, Hive, and MATLAB. At Sheffield Hallam University, he teaches modules on data management, healthcare knowledge, and project management, while also supervising master’s projects focused on big data analytics in healthcare. Previously, he served as a Lecturer II at Covenant University in Nigeria, where he taught Python programming, Hadoop framework, and various networking modules. Dr. Shobayo has also contributed to The Brilliant Club as a PhD tutor, designing and delivering courses to inspire young students in STEM subjects. His robust academic background and practical teaching approach make him a valuable asset in advancing the field of data science and analytics.
Professional Profile:
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Suitability for Best Researcher Award
Olamilekan Shobayo’s extensive research experience, including high-impact publications, innovative projects, and substantial teaching contributions, makes him a strong candidate for the Best Researcher Award. His work in data analytics, AI, and machine learning across various domains, combined with his leadership and teaching roles, underscores his suitability for this accolade.
🎓 Education
- Ph.D. in Computing
National University, [Year]
🏢 Work Experience
Sheffield Hallam University, Sheffield, UK
Lecturer
Jan 2022 – Present
- 📚 Advanced Data Management Project: Teaching data warehouse building, ETL/ELT processes, big data analysis using Hadoop, Spark, Hive, HDFS, and R programming.
- 🏥 Health Care Knowledge and Data Management: Analyzing healthcare data with R, using Noe4j graph databases, and preparing data mining workflows.
- 💻 Introduction to Database and Big Data (IDBBD): Creating ERDs, writing SQL queries, implementing security features, and using MS Azure for database labs.
- 📈 Study Skills and Project Management (SSPM): Teaching study skills and project management with MS Project and JIRA.
- 🧠 Research Skills and Dissertation (RS&D): Guiding students in computing research and providing feedback.
- 📊 Master’s Project Supervision: Guiding big data analytics projects related to healthcare.
- 🏫 Foundation Year Databases Module: Teaching foundational database concepts.
- 🎓 Academic Adviser: Advising MSc computing students.
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