Alexandre Petit

My history with data:

Regular contact with data analysis since my entrepreneurial period and then my studies where I was able to regularly analyze test data on thermal sensors, pressures, material deformation, etc.

Then a shift to data science at the end of 2020 after a course on machine learning.

As a data scientist, I focus on the most useful tools to solve your problems using Python and SQL.

During my data analyses, I use Python programming or Power BI depending on your needs.

XGBoost is often seen as the ultimate in tabular data prediction algorithms.

In addition to XGBoost, two other algorithms will help the data scientist in their mission.

LGBM, faster but as performant as XGBoost.

And Catboost, very long to train but allowing to reduce preprocessing.