One on ones should only exist for manager/leaders and direct reports One on ones are key meetings in most companies, they occurs between many employees and can fill up to 20h per week for managers (really)… Some examples While 1–1 are crucial in many ways … they are in most cases merely…

VectorDB to buy or not to buy If you work in data science, chances are that you had more than 5 talks from vendors about vector DB about how fast they are, how scalable they are, and how easy they are The Key question is Which Vector DB should you…

A short story about the red flags I have learned during the last years as a hiring manager Hiring is the most critical function of a manager and leader. Hire the right people to make your job easier. …

This escalated quickly into a robbery of A/B testing In my previous article, I stated numerous drawbacks of A/B testing when it comes to fixed sample sizes, the slow learning, and the insufficient insights you get out of A/B testing (unless a data analyst spends a tremendous amount of time…

Long live A/B testing A/B testing is the backbone of tech companies. They try, fail, and implement fast what works and what does not work. They believe in it as if this was the C-level making decisions and they have to obey the A/B testing results. …

I was looking around for material for people to move to ML. I came across the CS50 from Harvard on EDX and I thought I would try it. Doing most of the projects only take a couple of hours at most. But the one that struck me is the German…

Decision Scientists are one of the three pillars of our world of data. Here we explain what the role exactly is. — The world of data at Gojek At Gojek, the data world has been split between Analysts and Data Scientists. Analysts excel at analysing data, making sense of it, and driving critical business and product decisions that help us identify what makes us thrive and or what makes us irrelevant. …

Scale your impact but keep time for learning and doing Some things I learned managing data in tech. Common sense but don’t underestimate them. It is not really about managing Managing is just about directing the right resources in the right place. Really in Data, it won’t mean a lot. For instance, knowing on which project…

I have been asked this question at least 10 times over the last months, so I thought I would answer this in a more structured way My background I am a HKUST MBA graduate and I currently manage analytics and data science teams at Gojek. I saw HKUST MBA was…