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From the PhD Track to Analytics: Reinventing My Career

How a failed PhD qualifying exam led me to rethink my skills, discover analytics, and build a career in technology.

By Kalifa Shabazz

I was a Bill Gates Millennium Scholar on the PhD track and still had to reinvent my career.

Full ride through undergrad. Master's funded. PhD funded. Zero debt. Every box checked.

Then I failed my PhD qualifying exam. Twice.

Suddenly, the clear path I had followed for years just ended. No Plan B. No backup career. Just a master's degree and the feeling that I had done everything “right” and still felt lost.

My mentor said something that broke through the panic: “Skills will take you farther than degrees.”

So I took an honest look at what I had been doing for years: research design, data analysis, translating complex findings into clear insights.

These were not just academic skills. They were valuable outside the university too. I just did not know there was a career built around them.

That is when I found data analytics. I joined a bootcamp and started applying what I was learning to a real restaurant business. Not hypothetical datasets, but real, messy problems.

Something shifted for me. I was not performing for a committee anymore. I was solving problems that actually mattered to someone's business.

In November 2020, I landed my first corporate role as a Web Analytics Analyst at Honeywell.

Today, I am still in tech, building, teaching, and learning what it means to grow outside the academic path I once thought I needed.

A nonlinear path is not evidence that you failed. It is evidence that your skills were ready for a different stage. Your academic training was not wasted. It just needed a new application.

Kalifa Shabazz writes about analytics platforms, measurement, growth systems, and AI-enabled analytics operations.