- 🔭 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 Azure AI Fundamentals (AI-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:
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- How can I position myself to take advantage of the booming data analytics job market?
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- What skills should I develop to stay competitive in this growing industry?
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- How can businesses leverage data analytics to drive success and innovation?
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- What steps can I take today to build a career in data analytics?
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- How can I transition into a data analytics role if I come from a different background?
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- What opportunities exist in my region or industry for data analytics professionals?
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- How can I stay updated with the latest trends in data analytics to remain relevant in the job market?
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- What impact will data analytics have on the future of work, and how can I prepare for it?
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- How can I contribute to the data-driven revolution within my organization?
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- 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!