Baptiste Billard

During my internship at the Lorraine Research Laboratory in Computer Science and Artificial Intelligence, I participated in the setup and optimization of recommendation systems for an artificial intelligence research project.

I worked in bash and python for this purpose. Bash allowed me to automate the execution of my scripts in remote environments (cloud virtual machines), and Python was useful for everything from data preparation to the optimization/development of AI models.

The technologies I used during this internship are:

- Python

- Bash

- Pytorch

- Keras

- Tensorflow

- Recommenders

- Pandas

- Microsoft MIND

- Grid5K

- GitHub

- etc.

Following my final undergraduate internship, LORIA wished to continue benefiting from my knowledge of the project and my expertise, so I was hired as a freelancer to continue the work I had initiated during my internship.

This mission allowed me to carry out an evaluation and analysis phase of the results obtained by the various AI models implemented.

The first part of the mission essentially consisted of refining previous achievements, and the second part involved evaluating the models using different methods and then comparing the various solutions experimented with.

This therefore required significant work to maximize the quantity of results obtained in a limited time by optimally utilizing the available computing power.

Currently an apprentice at SNCF, I mainly work on preparing, analyzing, and visualizing management data.

I design Power BI dashboards to provide teams with tools for monitoring and understanding data.

The technologies used in this apprenticeship are:

- Power BI

- Power App

- Power Automate

- Office 365 (Excel in particular)

- PowerQuery

- DAX

- IBM Congos

- etc.