Ryan Mitchell

Writing a book is one of the most creatively fulfilling things a person can do — and in 2026, publishing that book and building a readership around it has never been more accessible. The barriers that once kept aspiring authors from reaching readers — gatekeeping agents, opaque publishing contracts, limited distribution channels — have been […]

Writing a book is an achievement. Building a career as an author is something larger — a long-term commitment to craft, audience, business, and creative identity that requires sustained effort over years and decades, not a single successful manuscript. Yet the author’s career path, while genuinely challenging, is more navigable than most people assume. This […]

Data has become the new business infrastructure. The vast majority of 7-digit decisions within large enterprises are made based on insights driven from a dataset that is clean and analyzed effectively. The people who drive those insights? The data analyst, and there continues to be a talent gap in 2026 for data analysts. Follow this […]

If you are pursuing data analytics, one of the first questions you will have to address is: Should I start by learning SQL or Python? Both SQL and Python will be crucial tools for any data analyst in 2026, yet they have distinct use cases, learning curves and varying weightage in the market, depending on […]

In ML hiring, your GitHub portfolio is often more impactful than your resume. The projects are tangible proof of what you are capable of actually building, not what you’ve studied. So if you’re getting started in the field or moving to the next level, the best possible way to land interviews and offers will be […]

The AI tooling ecosystem has undergone an evolution. New frameworks, libraries and platforms are emerging all of the time and knowing what matters for real-world engineering versus over-hype will allow you to save tremendous amounts of learning time. This article provides a definitive list of the 2026 AI and ML toolkit for engineers, structured by […]

AI has gone from research project to the nervous system of global industry. In health care systems it’s used for disease diagnosis. Financial organizations use it for fraud detection. All major tech companies are developing AI enabled products on a large scale. ML Engineers, the experts who are designing, building and operating these systems are […]

The most frequent question data analysts have is, “How do I get experience without a job and how do I get a job without experience?” The truth is that the answers to both questions are the same: build a robust portfolio backed by evidence. An analytical, guided portfolio of self-directed projects is the most impactful […]