I was once analyzing my bank account spendings. My bank UI was not very convenient: I cannot easily filter on interesting fields, some visualization were lacking, etc. But was there is an “export as .csv” button, which came quite handy. I decided to look at my expenses through my favorite tools.

Photo by Morgan Housel on Unsplash

I can do whatever I want with my data! I started looking where I could have avoided spending too much money and then an idea came to my mind: this can be treated as a very simple optimization problem! So here it is: Budget optimization @HOME

Catching cat/dog Locomotive

Original photo by Kalden Swart on Unsplash

During my career, I encountered Operations Research (O.R.) tooling in various environments: banking, supply chains, e-commerce, and even fishery industries. In most of the cases, I felt surprised (and sometimes frustrated) that our customers know very little to nothing about the Operations Research discipline, while almost everyone knew what AI, DS, and ML mean. In the best case, people will assume that this is something to do with machine learning (and they will be partially correct), in the worst case they will guess that this is something to do with operations management (also not totally wrong).