Kunal Sonalker, a computer science graduate, struggled to find data science roles in big firms, eventually landing a government analyst job. Although he found the work interesting, constraints in scope, budget limitations, and lower compensation drove him to a private sector role. By transitioning to a retail healthcare company, he not only found the opportunity to work on large-scale projects but also saw his salary increase by nearly 50% within a year and a half, highlighting the benefits of upskilling and making strategic career moves.
I wanted to work on big data systems and large-scale projects, and I wasn't getting a chance to work on that.
Data science was a growing field then, and there weren't many entry-level roles for data scientists or machine learning engineers.
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