Predicting future tour arrivals in Thailand
The capacity to forecast future tour arrivals is very beneficial for planning and maximizing tourism resources, enhancing guest experiences, and...
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The author has worked in IT and emerging technologies for over two decades, specializing in deep learning, artificial intelligence, project management, cloud solutions, and web development. As a freelance consultant with a Ph.D. candidature in Information Technology, specializing in deep learning, he offers academic acumen combined with rich, hands-on experience for any project. His work is driven by a passion for innovation and knowledge sharing, which is well-explained in contributions to platforms like InnovatyHub.
The author has managed numerous IT projects and technical teams, using some of the most advanced programming languages, databases, tools, and cloud architecture, such as Python, NodeJS, Angular, PHP, C# ASP.NET, CI/CD pipelines, MS SQL, MY SQL, MongoDB, DynamoDB, Jira, and AWS, to securely, scalably, and efficiently realize solutions. The author’s career has encompassed work as an AI consultant, project manager, and technical lead. The author has successfully designed and implemented complicated systems and automated business processes and facilitated agile methodologies to meet critical objectives.
A certified PMP and AWS Solutions Architect Professional, he has a solid academic grounding with an MS in Information Technology. His vast history and credentials highlight his commitment to offering high-quality IT strategy, project management, cloud-based innovation, and AI-powered predictive analytics.
The author focuses on assisting individuals and organizations in realizing the full potential of technological breakthroughs; he is passionate about both disciplines. From custom solution development and team mentoring to reviewing the latest AI and cloud computing advancements, their work continues to impact the world of technology.
The capacity to forecast future tour arrivals is very beneficial for planning and maximizing tourism resources, enhancing guest experiences, and...
Part 1 | Part 2 | Part 3 Time-series data Time-series data is collected over time, usually at regular intervals,...
Part 1 | Part 2 | Part 4 Semi-structured data Semi-structured data does not conform to a strict structure but...
Part 1 | Part 3 | Part 4 Unstructured data Unstructured data is more challenging to process and analyze because...
Four primary data types are commonly used in data science, each having distinct properties and processing techniques. Understanding these types...
I described the introduction and workflow of data science in the previous article. Let’s consider a real-world scenario in which...