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CelineBoutinon/README.md

alt README header

⛏️ I transform raw data into actionable business insights 💎


🎓 What I'm currently learning



✨ Check out my latest projects

📌 Market segmentation & customer behaviour

  • Establishing & maintaining a customer segmentation model for online Brazilian marketplace Olist

  • Identifying & analysing potential export markets for French chicken products

📌 Fraud prevention & detection

  • Safeguarding personal data against identity theft with Filigrane Malin, a privacy-focused, local-first PDF and image watermarking desktop app built with Streamlit

  • Detecting counterfeit banknotes

  • Establishing an individual's credit score to justify consumer credit application decisions

📌 Image classification

  • Classifying consumer products with CNNs, text vectors & text embeddings for an online marketplace

  • A Big Data image classification architecture applied to fruits recognition with AWS EMR

  • An applied performance comparison of visual transformers with CNN image classifiers

📌 Model serving & CI/CD

  • Predicting the energy consumption & greenhouse gas emissions of non-residential buildings for the City of Seattle

  • Deploying a consumer credit risk assessment & decision tool on Streamlit with PyTest, Flask & Render

📌 Inclusive storytelling

  • Creating a dashboard for colorblind & visually impaired users with Shap and Streamlit

  • Analysing worldwide access to drinking water with PowerBI

📌 Data mining & exploratory data analysis

  • Data quality analysis & inventory management for an online fine wine store

  • A GDPR-compliant, no-code analysis of gender equality in the workplace with Knime Analytics

  • A worldwide analysis of food insecurity with a focus on the Thai cassava paradox

📌 Statistical analysis & hypothesis testing

📌 Data Engineering & Database management

  • Bridging raw SRS logic and actionable analytics in Japankify, a Japanese vocabulary and kanji learning app powered by a Streamlit UI front-end and a serverless AWS backend

  • Developing a local-first, cost-efficient email archive & backup to bypass Yahoo's newly enforced storage caps and efficiently query & retrieve legacy email offline

  • Building & querying a restaurant's staff & customer database in MySQL with a Python client

  • Using public data to create a nationwide real-estate database with MySQL Workbench

🏮 Japankify is live! Explore the open-source repository here or try the live Streamlit demo. Next up: building an end-to-end MLOps architecture featuring data engineering pipelines, a SageMaker model with performance monitoring, MLflow parameter tracking, and a Streamlit frontend served via a Flask API—watch this space!


✨ Find me on

LinkedIn      Kaggle      Medium

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  1. mailbreak mailbreak Public

    A local-first, cost-efficient Yahoo Mail archiver to bypass storage caps, eliminate subscription fees, and secure your historical data offline.

    Python

  2. filigrane-malin filigrane-malin Public

    L'alternative 100% hors-ligne, intelligente & sécurisée pour protéger vos documents d'identité !

    Python 1

  3. japankify-open japankify-open Public

    A serveless Japanese flashcard app leveraging Streamlit and AWS (S3, Lambda, EventBridge and SES) for working towards JLPT N3 proficiency. Uses a decoupled, stateful, and event-driven cloud data ar…

    Python

  4. client-segmentation client-segmentation Public

    CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 5

    Python

  5. credit-scoring credit-scoring Public

    CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 7 (EDA & modélisation seules)

    Python

  6. energy-consumption energy-consumption Public

    CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 4

    Python