I'm a junior Data Scientist with an extended experience as a freelance in scientific engineering making me a good choice for missions requiring a good understanding of scientific issues.
I usually work remotely but I'm open on this matter.

Domains of predilection : Energy, Construction, Applied Sciences, Teaching/Education.

Data skills : feasibility, APIs, clustering, classification, regression, dimension reduction, natural language, computer vision, global and local interpretability, scoring ...

Data librairies : numpy, pandas, seaborn, matplotlib, sci-kit learn, NLTK, keyras, Sift, PySpark ...

Prodution ; feasibility studies, data collection and cleaning, prediction, API, reporting, dashboard, presentation, teaching.