Arthur Cornélio
arthurcornelio88
ML Engineer, musician (singer, composer, teacher) and social scientist !
Languages
Repos
23
Stars
7
Forks
2
Top Language
Python
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Top Repositories
AI-powered fashion catalog generator using Google Gemini. Transform clothing photos into professional model images with customizable environments and poses. Open-source project to help small businesses.
Production MLOps pipeline for Paris bike traffic prediction. Airflow orchestration, MLflow tracking (Cloud SQL), FastAPI deployment. Features: automated ingestion, drift detection, champion/challenger models, Prometheus+Grafana monitoring, Discord alerts. 15 Docker services locally.
A multilingual expense-sharing app built with Python and Streamlit, containerized with Docker. Easily calculate who owes what after a shared event.
A self-hosted, serverless automation system to sync HelloAsso data with Google Sheets, without third-party tools (as Zapier).
This repository documents an LLM-guided music mix & master project. It showcases an approach that merges a programmer's mindset with creative sound engineering, treating preset chains as a form of structured, logical code. After restoring the audio quality of all tracks, this project was completed with a focus on technical precision and musicality.
Vocal analysis toolkit for academic research. Extracts F0, spectral features, and VMI (Vocal Mechanism Index) from singing voice. Built for musicology research on Brazilian popular music.
Repositories
23Vocal analysis toolkit for academic research. Extracts F0, spectral features, and VMI (Vocal Mechanism Index) from singing voice. Built for musicology research on Brazilian popular music.
Config files for my GitHub profile.
AI-powered fashion catalog generator using Google Gemini. Transform clothing photos into professional model images with customizable environments and poses. Open-source project to help small businesses.
This repository documents a neLLM-guided music mix & master project. It showcases an approach that merges a programmer's mindset with creative sound engineering, treating preset chains as a form of structured, logical code.
Production MLOps pipeline for Paris bike traffic prediction. Airflow orchestration, MLflow tracking (Cloud SQL), FastAPI deployment. Features: automated ingestion, drift detection, champion/challenger models, Prometheus+Grafana monitoring, Discord alerts. 15 Docker services locally.
Module Python professionnel pour enrichir des données d'entreprises avec l'API INSEE Sirene. Cache intelligent, export Salesforce, interface CLI flexible.
📊 OLAP Data Warehouse: Stores transformed data optimized for business intelligence and analytics.
⚙️ Data Engineering pipeline for the MLOps workflow. Automates ETL and feature engineering with Airflow on GCP/BigQuery.
⚡ OLTP System: Captures and stores real-time transactional data from the Stripe API.
📄 NoSQL Database: Stores semi-structured data, logs, and JSON objects for the Stripe ETL platform.
No description provided.
Complete weather data pipeline with ML model training using Apache Airflow
Livrables pour l'examen du 04 septembre 2025
⚙️ ETL/ELT Orchestrator: Manages and schedules data pipelines between the OLTP, NoSQL, and OLAP systems using Airflow.
🏛️ Central hub for the Stripe ETL & Analytics Platform. This project orchestrates data from OLTP and NoSQL systems into an OLAP data warehouse.
🧠 ML training pipeline within our MLOps architecture. Manages the training, evaluation, and versioning of the CatBoost model.
🤖 End-to-end MLOps platform for fraud detection, integrating a Data Engineering pipeline (GCP, Airflow) and the ML model lifecycle (CatBoost).
A multilingual expense-sharing app built with Python and Streamlit, containerized with Docker. Easily calculate who owes what after a shared event.
A self-hosted, serverless automation system to sync HelloAsso data with Google Sheets, without third-party tools (as Zapier).
This repository documents an LLM-guided music mix & master project. It showcases an approach that merges a programmer's mindset with creative sound engineering, treating preset chains as a form of structured, logical code. After restoring the audio quality of all tracks, this project was completed with a focus on technical precision and musicality.
Predicting a housing pricing with a large AirBnB Kaggle's dataset
No description provided.
Final project from le wagon data science batch 1601