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.