Project Management

, clients and stakeholders don’t want surprises. What they expect is clarity, consistent communication, and transparency. They need results, but additionally they want you to remain grounded and aligned with the project’s goals as a...

, data scientists working within the Python ecosystem would normally juggle multiple tools to perform basic project management tasks, from creating virtual environments with venv and installing dependencies with pip or conda, to constructing...

AI project to succeed, mastering expectation management comes first. When working with AI projets, uncertainty isn’t only a side effect, it could make or break all the initiative. Most individuals impacted by AI projects don’t...

series in reducing the time to value of your projects (see part 1, part 2 and part 3) takes a less implementation-led approach and as an alternative focusses on the perfect practises of...

are notoriously difficult to design and implement. Despite the hype and the flood of recent frameworks, especially within the generative AI space, turning these projects into real, tangible value stays a serious challenge...

have you ever had a messy Jupyter Notebook stuffed with copy-pasted code simply to re-use some data wrangling logic? Whether you do it for passion or for work, for those who code so...

months on a Machine Learning project, only to find you never defined the “correct” problem at first? In that case, or even when not, and you're only starting with the information science or...

Nowadays, data science projects don't end with the proof of concept; every project has the goal of getting used in production. It will be important, subsequently, to deliver high-quality code. I even have been...