Hello! I’ve transitioned from sales and operations into data science by successfully developing a proof of concept. Now, with a dedicated junior data science role, I’m eager to share insights and connect with fellow experts.
hey finn, ur move into datascince is super intriging. how do u mix real-world experiments with learnin? any meditating moments that change ur strategy? would lve to hear more about what fires u uo on challenging days
hey finn, ur path is cool. switching fields wont be smooth, but messy experiments help. experimenting with real data even if u mess up sometimes is key. keep pushin boundaries and learnin on the go, cheers!
hey finn, congats on your pivot from sales to data scince. your story intrigues me, can u share a bit more about your struggles and successes in the initial phase? im curious to learn about your proof of concept process
hey finn, your switch into datascince is quite inspo. i’d like to know what pushed you to make the leap and any hurdles you had to overcome. any small tips for those just starting their journey?
Transitioning to data science from a non-technical background required a significant shift in mindset and strategy. My primary focus was on applying foundational concepts practically rather than just theoretical understanding. This approach involved dedicating extra time to learn key techniques and working on projects that had immediate business value. Building prototypes to validate ideas was particularly beneficial. I recommend investing in incremental learning, where every small project builds your confidence and technical expertise. The challenges of transitioning are real, but persistence and hands-on experimentation make the journey more rewarding.