About Me:

I enjoy coding, understanding, and explaining. Thinking about software/data architecture solutions and implementing them. In fact, regardless of the language and tools, I learn quickly and enjoy picking my brain on difficult engineering problems.

Skills

Experience

Education

  • Hard skills
    ·Python
    ·Kafka
    ·MLOPS
    ·Machine Learning / Deep Learning
    ·CI/CD
    ·Kubernetes
    ·Docker
    ·Spark
  • Soft skills
    ·Excellent communication
    ·Problem Solving
    ·Teamwork and Collaboration
    ·Attention to Detail
    ·High adaptation and learning abilities
  • Language
    ·Fluent French and English
    ·Intermediate Chinese and Japanese
  • 03/2024-current
    Data Engineer, Scientist / Python Developer at RTBF

    · Delivering personalized recommendations to over 5 million users across media types including news articles, VOD, podcasts, and live TV, spanning two websites.

    · Maintaining over 100 microservices within the recommendation architecture.

    · Developed a uniform logging system for all recommendation APIs to support operational use and ensure compliance with EU/Belgian laws.

    · Performed graph query optimization to enhance API response times using Cypher language in the Neo4j graph database.

    · Contributed to the development of an internal framework, structured as a versioned Python library, and distributed via CodeArtifact.

    ·Technical stack : Python, Kafka, Neo4j, Kubernetes (EKS), Docker, Redis, AWS, Redshift, Postgres, Terraform, GitLab, CloudWatch, Grafana.
  • 01/2024-current
    Data Engineer Consultant at Amaris

    · Joining the development of the internal Data Platform solution, creating the end-user config builder interface from scratch. Engineering a DAG solution for lineage querying and building intricate features like user query validation.

    · Participating in the creation of an easily deployable RAG, leveraging open source projects.

    · Building a GenAi augmented scrapper, to scrap data from targeted website and previous research on efficient prompting to perform batch evaluation and classification with LLM calls
  • 07/2022-12/2023
    Junior Data Engineer at Pragaz

    ·Developed and implemented interactive dashboards : using Dash, leveraging years of delivery data to visualize client locations and extract valuable business insights.

    ·Data-driven business development initiatives : including the creation, testing, and deployment of a web application and ETL pipeline, automating data scraping processes to streamline lead generation efforts.

    ·Technical stack : AWS (EC2, S3, RDS), Docker, Dash, Streamlit, PostgreSQL, Selenium, Beautiful Soup, Github Actions, Pytest, Pandas, SQLAlchemy
  • 2023-2024
    Master's degree in Data Science
    OpenClassroom - CentraleSupélec
  • 2022-2023
    Bachelor's degree in Data analysis
    OpenClassroom - ENSAE
  • 2012-2015
    Bachelor's degree in Video Editing
    University of Rennes 2
  • 2007-2011
    High school diploma in science

Key career projects :

First Game Created C#

Feb 2022

Creating my first game "Slime Dynasty" a small Diablo-like H&S

GameJam

May 2022

My first GameJam, finishing 43rd out of a 1000 entries with my card game Kraken's Adventure

Data Conference

June 2022

Joined a data conference in Lyon that introduced me to the world of Data analysis

Bachelor's in Data Analysis

Started Jully 2022

The Data Analyst bachelor from OpenClassroom is carried out in partnership with ENSAE. An elite engineering school that specializes in statistics and data science

Master's in Data Science

started June 2023

The Data Science master from OpenClassroom is carried out in partnership with CentraleSupélec. Another elite French engineering school.

Authored my first paper

Sep 2023

Conducted an in-depth analysis of contemporary techniques in text classification, with a focus on leveraging Large Language Models (LLMs)

More Data Science Projects :

Online Client Segmentation

RFM analysis, ARI metrics, model update frequency, unsupervised algorithms, k-means, AHC, PCA.

Text & Image Classification

Text algorithms, CNN and transfer learning, data augmentation. Authored a paper on Text classification with LLM

Energy Consumption Prediction

Supervised learning, hyperparameter tuning with Optuna, feature engineering, SHAP.

Loan Scoring System

Designed a loan scoring system with an MLflow pipeline, automated through CI/CD using GitHub Actions and Docker. Deployed the model as an API and created an associated dashboard using Dash.

Big Data Processing on AWS Cloud

Performed big data processing using AWS services such as EMR, EC2 clusters, Spark, and PySpark. Managed resources using AWS CLI and S3.

Dashboarding with Tableau

An extensive dashboard with multiple views and graphs helps the team make better-informed decisions.

AI Project Framing

Managed an AI project employing SCRUM and Agile methodologies, focusing on risk analysis and mitigation strategies.

My GameDev work:

Slime Dynasty

The first ever game I created, an isometric hack and slash

Kraken Adventure

A fun card Game made for my first GameJam... Finsihed 43/1000+

SpiritSwap

The first project I made as a team, with an artist and a sound designer

Contact Me

jbgidrol@hotmail.fr

+33698192570

Download CV

Made by Jean-Baptiste to show that I know a bit of HTML/CSS/JS