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Lise G.LG

Lise G.

Data engineer

€480/day
Lyon, FR
0-2 years

Average response time: 1 hour

About Lise

Data engineer / machine learning engineer avec une expérience technique de 6 mois et 5 ans de
management. Je suis autonome, j'aime le travail en équipe, j'apprends vite et je m'adapte très bien à différents environnements et technologies. Mon expérience passée me permet de me projeter facilement dans les différents métiers de l'entreprise. Je suis certifiée AWS Solutions Architect - Associate.
  • French

    Native or bilingual

  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Jedha Bootcamp
    Data Engineer / Data Scientist
    September 2022 - May 2023 (8 months)
    Lyon, France
    DATA ENGINEERING :
    - Big Data : SQL, PySpark, DataBricks
    - Graph Database : Neo4j
    - Standardized Environments and clustering : Docker / Docker Compose, Kubernetes, Helm
    - Distributed machine learning and deep learning : Ray Train, Ray Tune
    - Machine learning monitoring : evidently
    - Cloud environments : Heroku, MLFlow, Confluent, GCP, AWS Architect Associate (SAA C03) certification in progress
    - API and Web Applications : Streamlit, Fast API
    - ETL / ELT : Airbyte, Kafka, Airflow, Zapier
    - Ubuntu Environment development, Linux Shell, Visual Studio Code DATA SCIENCE :
    - Python Programming (Numpy, Pandas, Geopandas, ScikitLearn, TensorFlow...), Object Oriented Programming, Git / GitHub
    - Data collection & management : ETL process, API requests, Web scraping, HTML / CSS datalake, data warehouse (AWS S3, Redshift)
    - Exploratory data analysis and visualization : Tableau, SQL, Libraries Seaborn, Matplotlib, Plotly, PlotlyExpress, statistics, dashboarding
    - Big Data : SQL, PySpark
    - Supervised machine learning : linear and logistic regressions, Regularization and Hyperparameter Optimization (Ridge, Lasso, Cross Validation, Grid Search), Random Forest, Ensemble Learning (Bagging, Adaboost, ScikitLearn Gradient Boosting, XGBoost, Voting, Stacking), SVM, Time Series (Facebook Prophet).
    - Unsupervised machine learning : clustering with KMeans and DBSCAN, Dimensionality Reduction PCA, Natural Language Processing (NLP), Topic Modeling.
    - Deep learning : Batch Gradient Descent, simple neuron networks, Convolutional Neural Network (CNN), Transfer Learning, GANs, Word Embedding, Recurrent Neural Networks (GRU, LSTM), NLP, Encoder Decoder, Attention mechanism
    - Reinforcement learning : Gymnasium
  • SUEZ France
    DIRECTOR OF BUSINESS PROJECTS
    December 2021 - August 2022 (8 months)
    Lyon, France
    In charge of 4 departments responding to tenders for the operation of water and wastewater services of public stakeholders (Auvergne Rhône Alpes, Est, PACA, Occitanie areas) and direct management of a team responsible of key account projects in the 4 areas.
    - Management of a department of 35 people with 4 managers.
    - Organisation of complex responses to tenders for France's East side, dealing with local entities in a context of strong competition and unstable situation.
    - 200 responses per year, 1 M€ to 200 M€ of sales revenue.
  • SUEZ France
    RESPONSIBLE FOR A BUSINESS PROJECTS ENTITY
    March 2017 - December 2021 (4 years and 9 months)
    Lyon, France
    In charge of one entity aiming at responding to tenders for the operation of water and wastewater services of public stakeholders (Auvergne Rhône Alpes area).
    - Management of a team of 7 people.
    - Carrying out local and complex responses to tenders : concessional offers with project funding, partnerships with other companies (GEG, ENGIE) in short time limits (1 to 6 months).
    - 50 responses per year, 100 k€ to 60 M€ of sales revenue.

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Education

  • Master's degree, Artificial Intelligence
    Jedha Bootcamp
    2023
    Master's degree, Artificial Intelligence
  • Master of Engineering
    University of South Australia
    2007
    Master of Engineering - MEng, Hydrology and Water Resources Science

Certifications

Skill set (28)

Categories