Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
Bootcamps Teach Python - They Don't Teach This
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Data science bootcamps teach Python. They don’t teach you how to turn chaos into answerable questions. To this day, whenever I’m faced with a problem, the first thing I do is come up with a series of research questions - then I try to answer them. It’s standard practice in academic research, but I’ve rarely seen it done elsewhere. That experimental approach keeps me focused on what actually moves the needle. And it’s the kind of strategic thinking that gets you noticed by senior stakeholders. Last week, I wrote about the brutal reality of transitioning from academic to industry data science. This week, I’m flipping the script. Academics bring powerful skills to industry that many data scientists never develop. Skills like:
In the latest Value Boost episode of Value Driven Data Science, Dr. Sayli Javadekar returns to explore these transferable skills - and how any data scientist can develop them. You’ll learn:
Academic background or not, these skills will set you apart. Listen now on Apple Podcasts or Spotify, or click the link below: Episode 93: What Industry Data Scientists Can Learn from Academic Training Talk again soon, Dr Genevieve Hayes. p.s. I am going to be taking a break for a few weeks but will return for 2026 in February. Merry Christmas and a Happy New Year! 🎄🎁 |
Data Science Impact Algorithm
Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
After spending most of the year in front of a screen, at Christmas time there’s nothing I enjoy more than finally switching off my computer and relaxing with a good book. With only 10 days left until Christmas, here are my top picks for this year’s holiday break: Stakeholder Whispering by Bill Shander Data scientists are constantly told of the importance of understanding their stakeholders’ needs. Unfortunately, this advice is rarely accompanied by instructions on just how to do this. In...
My first month in industry as a data scientist, I drafted a beautifully structured email for my boss. What he actually sent was 1/10th the length. I’ve never felt more overeducated and underprepared. Fresh from my PhD, my boss asked me to draft an email for him. I spent 4 hours crafting what I thought was the perfect message: grammatically perfect, clearly justified, with every logical step meticulously explained - exactly how I’d been trained to write at university. When he CC’d me on what...
Imagine going to buy a house and the real estate agent just hands you a floorplan - without any photos or context. You’d see the number of bedrooms and bathrooms; the size of the house. All the important features. But would you buy it? Probably not. Because floorplans show features. People buy benefits. My parents’ neighbour recently moved house after 30+ years. For her new home, she chose a single-story house. The feature? No stairs. The benefit? Continued independence as she grows old - her...