Lucas Rousse

Graduated in Data Science from Mines ParisTech with DataScientest, I decided to go freelance to put into practice and deepen all the concepts I have worked on.

Formerly a student in a maritime engineering school after completing a CPGE MP, I finally opted for a Plurisciences Bachelor's degree. During these years spent in different scientific fields, I had the opportunity to improve my IT skills while maintaining rigorous and diverse work methods. I was thus able to work on numerous team projects bringing together specialists from different backgrounds to deliver work that highlights everyone's skills.

I propose to accomplish your Data Science missions by following a classic methodology of proposing hypotheses and validating them through modeling results. To do this, I generally proceed in three phases:

Loading and exhaustive data exploration:

- Understanding and manipulating data

- Data relevance

- Pre-processing and feature engineering

Statistical analysis and visualizations:

- Relationships between variables

- Data distribution

- Outlier detection

Model selection and optimization:

- Problem type identification

- Performance metrics

- GridSearch and/or cross-validation

This methodology allows me to best interpret the results in order to meet the various requests as much as possible while maintaining the necessary flexibility in case of potential modifications.

Do not hesitate to contact me 7 days a week via Malt messaging, I will reply as soon as possible.

With informed advice, I will do everything possible to ensure that your project meets your expectations.

Looking forward to working with you.