Data Science Project Review

'Data Science' is a very general term without a precise definition and defined steps and there is a lot of clutter and conflict around Data science topics. For example, how to evaluate, benchmark, and compare machine learning models correctly.

Secondly, there are several other issues to be aware

of, (such as data Poisoning and data drift), to detect and overcoming these

issues can be quite a challenge. The abundance of poor-quality courses and

articles on Data Science is overwhelming.

I am naturally good at finding statistical biases and

other sorts of DS mistakes. I can audit your AI tool, and ML

solutions-based problem-solving, let’s talk.