3 tricks for efficient data science

It’s amazing how little things can turn a data science / mathematical modelling project into a full-fledged mess.  There are easily avoidable traps, but unfortunately also easily forgotten: we love to pretend we “couldn’t do something that silly”. Following the principles below has saved me (and others) a lot of time and spared me from … Read more3 tricks for efficient data science

From academia to business: the paradigm shift

The most important change one needs to do comes from inside: it is crucial to understand the logic of the business world, which is rather simple: everything needs to increase revenue or reduce costs. Unlike academia, where one is free of cherry-picking problems, in the private sector we often find ourselves doing “menial” work for … Read moreFrom academia to business: the paradigm shift

Getting a job in the private sector after your (quantitative) PhD

First of all, build marketable skills At least on the beginning, you need to be aware of what the market is looking for, and where you can fit. Coding in some way or another is essential for this. Depends on the level of specialization you want to achieve, this would be C++ (development of high-performance … Read moreGetting a job in the private sector after your (quantitative) PhD