• 🔭 I’m currently working on delivering technical training sessions, developing solutions, offering career coaching and consulting on Microsoft Azure, Power BI, Microsoft Fabric, Data Science, Data Analytics, Database Administration, and Cloud Technologies.
• 🌱 I’m currently learning advanced studies on Generative AI and Automation, as well as advanced cloud-based solutions on Data Analytics techniques.
• 👯 I’m looking to collaborate on projects related to data analytics, data science, cloud solutions, AI, and automation of business processes.
• 🤔 I’m looking for help with academic research and publishing research papers in Data Platforms and Cloud Technologies.
• 💬 Ask me about Microsoft Azure, Power BI, Microsoft Fabric, Data Analytics, Data Science, AI, and IT Certification training.
• 📫 How to reach me:www.linkedin.com/in/popoolaio
• 😄 Pronouns: He / Him
• ⚡ Fun fact: I enjoy mentoring aspiring tech professionals, supporting tech communities and organising and/or facilitating interactive training sessions which make learning engaging and impactful!

• Cloud Technologies: Microsoft Azure
• Data Analytics & Visualization: Power BI, Microsoft Fabric, SQL, Python (Pandas, Matplotlib, Seaborn, Plotly)
• Big Data & Data Engineering: Azure Synapse Analytics, Data Lake, Data Warehouse
• Software & Tools: Microsoft Excel, SPSS

• Microsoft Certified Trainer (MCT)
• Fabrics Analytics Engineer Associate (DP-600)
• Power BI Data Analyst Associate (PL-300)
• Azure Data Engineer Associate (DP-203)
• Azure Database Administrator Associate (DP-300)
• Azure Data Fundamentals (DP-900)
• Azure Fundamentals (AZ-900)
• Microsoft Office Specialist: Excel Associate (MO-200)
• Security, Compliance, and Identity Fundamentals (SC-900)
• Microsoft 365 Fundamentals (MS-900)
• Power Platform Fundamentals (PL-900)
• Microsoft Azure Administrator (AZ-104)

⭐⭐⭐⭐⭐The demand for data analytics professionals is rapidly increasing, making it a lucrative and high-growth career field. With the global market expected to surpass $140 billion by 2025, there are significant opportunities for businesses and individuals to invest in data analytics skills and technologies. ⭐⭐⭐⭐⭐

✳️Intelligent questions from the above could be:

• 1. How can I position myself to take advantage of the booming data analytics job market?
• 2. What skills should I develop to stay competitive in this growing industry?
• 3. How can businesses leverage data analytics to drive success and innovation?
• 4. What steps can I take today to build a career in data analytics?
• 5. How can I transition into a data analytics role if I come from a different background?
• 6. What opportunities exist in my region or industry for data analytics professionals?
• 7. How can I stay updated with the latest trends in data analytics to remain relevant in the job market?
• 8. What impact will data analytics have on the future of work, and how can I prepare for it?
• 9. How can I contribute to the data-driven revolution within my organization?
• 10. What challenges might I face in pursuing a career in data analytics, and how can I overcome them?

If you have any questions from the above, let us connect and discuss a possible way forward!

🌍 Passionate about Data, AI, and Cloud Technologies. Let's connect and innovate together!

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