Skip to content
View cnoret's full-sized avatar
πŸ‘‹
πŸ‘‹

Block or report cnoret

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
cnoret/README.md
VISITORS

Hi! πŸ‘‹

🐍 I'm Christophe and welcome to my GitHub profile!

Data Engineering & Analytics Β· Modern Data Stack Β· Production-first


🌟 About me

After a break from software development studies and several years in retail, I returned to tech.

I currently work as a Freelance Teacher Assistant at Jedha AI School, supporting learners on core topics in data engineering and analytics.

  • πŸ‘¨β€πŸ« Freelance Teacher Assistant @ Jedha AI School
  • πŸŽ“ Former Data Analyst student @ DataScientest
  • 🧠 Background in Data Engineering & Analytics (Fullstack & Lead – Jedha AI School)
  • πŸ“ˆ Passionate about Data Engineering, Analytics, Modern Data Stacks, and production systems
  • πŸ–₯️ Building my web portfolio with real-world data projects
  • βœ‰οΈ Contact: hello@christophenoret.com

πŸ› οΈ Tech Stack

πŸ—οΈ Data Engineering & Cloud

PostgreSQL Amazon AWS Apache Airflow PySpark Snowflake

πŸ“Š Analytics & Data Processing

Python SQL

πŸ“ˆ BI & Visualization

Power BI Tableau

βš™οΈ Data Ops & Deployment

Docker Kubernetes MLflow


πŸ“ Earned Certifications

IBM Data Analyst Google AI Essentials

Pinned Loading

  1. book_recommender book_recommender Public

    Streamlit-based application that provides personalized book recommendations using a k-Nearest Neighbors (kNN) model.

    Jupyter Notebook

  2. retail-data-analysis retail-data-analysis Public

    Let's analyze historical sales data from a large retail chain and predict weekly sales using machine learning on a Streamlit web app

    Jupyter Notebook 1

  3. hexa-watts hexa-watts Public

    Interactive data visualization and machine learning app for energy consumption analysis and prediction in France, built with Streamlit. (Text in French)

    Python 1

  4. sms-spam-detector sms-spam-detector Public

    A Streamlit-based SMS spam detection app powered by deep learning. Real-time predictions, interactive visualizations, and Docker/Streamlit Cloud deployments included.

    Jupyter Notebook