Freelancer profile translated to English.
Back to original languageAbout Thibault
With an engineering background, I worked in Oil & Gas and teaching before training in Data Science with Python. I can handle the following tasks:
- Data retrieval: scraping, API calls
- Data processing: reading numerous formats (csv, txt, xls, json, netCDF, ...), cleaning and preparation
- Data visualization: with classic Python libraries (Matplolib, Seaborn, Plotly, Bokeh), with a geographical visualization library (Folium) or with Tableau
- Machine Learning: classification, regression, supervised and unsupervised learning (Scikit-learn)
- Application creation with Streamlit
Furthermore, I have a good writing ability, general knowledge, and a talent for explaining complex topics, which will allow me to take on tasks that require more than just technical skills.
Do not hesitate to contact me to discuss how I can help you!
French
Native or bilingual
English
Fluent
German
Conversational
Can work on-site
Versailles (up to 50km)
Experience
- Ocean HackathonMeteoWind ProjectENERGY AND UTILITIESNovember 2021 - November 2021Champs-sur-Marne, FranceThe project involved creating a geographical visualization of a limited set of wind speed data to aid in decision-making for offshore wind farm placement (https://www.campusmer.fr/all-challenges-cha05-meteowind-4385-52-0-0.html).In 48 hours, our team of 5 people exceeded the objective by successfully developing an interactive tool for geographical and temporal visualization of offshore meteorological data. Here are the parts I worked on:● Retrieval of meteorological data from an API (Copernicus Marine Service)● Conversion of netCDF files to flat files● Data visualization in the form of graphs and maps● Development of a Streamlit web applicationOur team won 3rd place.
- DataScientestModeling of Electrical Consumption and Wind Power ProductionEDUCATION AND E-LEARNINGAugust 2021 - October 2021 (3 months)● Creation of usable datasets: research of electricity grid data, meteorological data, installed wind turbine data, data cleaning and preparation● Data visualization● Model for predicting electrical consumption as a time series (SARIMA)● Models for predicting electrical consumption enhanced by meteorological data (KNRegressor, RFRegressor, Ridge, Lasso)● Models for predicting wind power production (LinearRegression, Ridge, Lasso)● Development of a Streamlit web application
Reviews
Recommendations
FU
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Diplôme d'ingénieurENSIC2007Diplôme d'ingénieur en Génie des procédés (Grade de Master)
Certifications
- Data ScientistDataScientest.com2021