Classfication of Stars, galaxies, and quasars based on their spectral characteristics using Machine Learning models
Demonstration of LSDB and TAPE, prepared for the Rare Gems in Big Data 2024 meeting
Bulk Zwicky Transient Facility Frames Downloader for making astrophotography with ZTF data
Multiwavelength Catalog of Supernova Remnants in the Magellanic Clouds (LMC)
Automated testing architecture (API, RAG, and Machine Learning) for the NOVAML ecosystem. Developed with PyTest, HTTPX, and Pandas, following ISO/IEC/IEEE 29119-3 guidelines and BDD/Gherkin scenarios focused on astronomical data.
🔭 NASA DONKI Astronomy Bot - Sistema completo de monitoramento e análise de eventos astronômicos em tempo real integrado com WhatsApp. Utiliza dados oficiais da NASA DONKI API, análise com IA (Groq Llama 3.1) e interface interativa no WhatsApp com 18 funcionalidades para entusiastas da astronomia.
Interactive ML web app classifying stars, galaxies, and quasars from SDSS DR17 photometric data using a Random Forest model, deployed with Streamlit.
Pipeline for simplifying analysis and timing of Magnetar data using PRESTO and Python subprocess, built for Magnetar Timing Research Team @ Pulsar Seach Collaboratory
CREST - a Python library simplifying best practices for observational astronomy.
Predicting stellar classes - Galaxy, QSO, or Star. Kaggle playground series competition.
A python framework for Bayesian ARIMA model selection for astronomical time-series analysis using Nested Sampling.
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