Switching roles as a working professional is rarely about starting from zero, it’s about fixing what’s not working. Bapan Bairagya’s journey reflects this perfectly.
Bapan started his career in startups, working across data science and AI/ML. He had hands-on experience with machine learning models, exposure to data engineering tasks, and a strong academic background. Everything looked right. But when it came to switching into better product-based roles, things didn’t go as planned.
Despite putting in consistent effort, he struggled in interviews. The problem wasn’t that he didn’t understand concepts. It was that his preparation lacked direction. Like many professionals, he found himself learning more but not necessarily learning what actually mattered for interviews.
He was feeling frustrated because he was not achieving his objectives despite being capable and having experience to achieve them.
After looking back at his preparation, he noticed a number of problems. He was doing quite well at solving problems, but didn't have a specific plan to follow as he worked through the steps of how to solve the problems.
Previously, he lacked both the knowledge of the job he was applying for and the skills required to do the job. Additionally, he did not have anyone providing feedback to give him guidelines to make improvements.
→ Preparing widely, but not deeply where it mattered
→ Applied with no clear direction on job expectations,
→ Practicing with no feedback to help him identify areas to improve.
This kind of approach often leads to slow or no progress, even with a lot of effort.
What Changed After Bosscoder Academy
After joining Bosscoder Academy, the biggest shift was simple but powerful was structure.
He no longer had to guess what his next step should be. Instead, he was now able to track his preparation and become much more intentional about it. The questions that he practiced had been aligned to the interview expectations he would face, and he could also track his improvement and improvement progress throughout his preparation.
With consistency, everything has started to click into place, those concepts that once seemed random now feel like they are all connected and predictable.
The Role of Mentorship
The biggest benefit to Bapan during his journey was 1:1 mentorship.
Through guidance and support from mentors, Bapan understood something very important: data science is made up of many different types of jobs that each require different types of skills.
Some roles in data scientists work mostly with SQL and analytics, while others are focused on building dashboards or providing business insights. Some have more of an engineering or product development work.
As a result of this guidance and support, he was able to make better career decisions:
→ Target roles that actually matched his strengths
→ Align preparation with specific job requirements
→ Evaluate opportunities more critically before applying
That clarity made a significant difference. Bapan’s experience highlights a common challenge.
When you’re already working, you don’t have unlimited time. You can’t keep experimenting and hoping something works. You need a focused approach.
What actually helps is simple:
→ clarity on what to prepare
→ structure in how to prepare
→ feedback to understand if you’re improving
Without these, even capable professionals can feel stuck.
Final Thoughts
Bosscoder Academy didn’t change Bapan career immediately, and it didn’t remove the need for effort.
What it did was more practical. It ensured that the effort he was already putting in started giving results.
For many working professionals, the real issue isn’t capability, it’s direction. And once that direction is clear, everything else begins to fall into place.
