Sebastien Auve

Canada

@auve_sebastien

Badges

Problem Solving
CPP
Python

Certifications

Work Experience

  • Big Data Engineer

    Sopra Steria•  January 2023 - August 2024•  Nantes, France

    Development of an ETL platform within an Agile project, integrating national data of BNP Paribas Personal Finance. - Implementation of data processing solutions (batch and streaming) with Scala, PySpark and Bash. - Setting up the CI/CD chain and its supervision. - Integration and training of new employees.

  • Team manager

    Kalitys•  September 2022 - December 2022•  Lyon, France

    Managing a technical team of 6 people (web development), prioritizing development and support tasks, and handled client relations.

  • Data scientist

    Boulanger•  April 2021 - September 2022•  Lille, France

    At Boulanger, I contributed to strategic data science initiatives that empowered business decision-making and operational efficiency. My key achievements include: • Shop Traffic Forecasting: Developed a linear regression model for hourly shop traffic prediction, enabling optimized resource allocation. • Business Dashboards: Designed and implemented interactive dashboards in Power BI to visualize key business metrics and forecasts, providing actionable insights for the after-sales service team. • Breakdown Rate Forecasting: Built time series models (Prophet, LightGBM) to forecast daily intervention numbers for after-sales service, streamlining operations. • Email Appetence Prediction: Engineered a machine learning model (Random Forest, GBT) to calculate email receptiveness, achieving an 80% AUC score and improving marketing campaign targeting. • Sentiment Analysis: Applied NLP to analyze customer feedback, uncovering insights on after-sales service quality by product category.

  • Digital communications assistant

    iMakr•  February 2020 - May 2020•  London, UK

    Website update and translation. Error detection for database products (VBA/SQL).

Education

  • Institut Mines Télécom Nord Europe

    Data Science, MS•  January 2016 - December 2022•  GPA: 3.3

    ● Data Science (supervised and unsupervised learning, deep learning & machine learning) ● Statistics (time series, Bayes filter, Monte Carlo methods) ● Algorithms and programming (Python, C, Java) ● Financial engineering (pricing, risk and portfolio management, stocks and derivatives)

Skills

GIT
Jenkins
Maven
Power BI
REST APIs
SQL
Hadoop
Snowflake
Scikit-learn
Keras
TensorFlow
Python
PySpark
Spark/Scala
C
C++
Java
VBA
Streamlit
Databricks