Skill set (19)
Grégoire in a few words
Knowledgeable in python, SQL, building ETL (Airflow, Prefect, DBT, Spark, Kafka) for AWS or google cloud.
As a data scientist I can build your Machine/deep learning pipelines (NLP, identity recognition, image identification ...).
As a data engineer I can prep your pipeline with your tool of choice, building instances, stating queries for DBT, DAG in Prefect/Airflow etc...
For data analytics I can build your dashboard in data studio/tableau or the tool of your preference.
I have years of experience of collecting, analyzing, running statistics and presenting data as a researcher. I can scrap, extract, build ingestion scripts for your data.
Experience
- ThemakersData scientistAGRICULTUREJanuary 2022 - December 2022 (11 months)Berlin, Germany- ETL to AWS using airflow/prefect- Building pythons scripts to parse, process and reformat data- Building PostgreSQL database- Entity resolution scripts- Building prediction models- Building webapps with streamlit or Dash
Recommendations
Education
- Data ScienceLe Wagon2021Data Science bootcamp,10-week full-time intensive coding bootcamp to learn: * Data Analytics with SQL, BigQuery, Pandas, Numpy, and Matplotlib * Statistics with Scipy, Seaborn and Statsmodels * Machine Learning with Scikit-learn * Deep Learning with TensorFlow Keras * Develop Data Products with Google Cloud Platform, ML Flow, Flask, Heroku and Streamlit. My GitHub profile: https://github.com/GreLeBr
Certifications
- Data scienceLe Wagon Berlin2021
- Data analystDatacamp2021
- Data EngineerDataTalksclub2022