🚀 Streamline ETL workflows and monitor ML models with a scalable MLOps pipeline for efficient data handling and observability.
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Updated
Dec 18, 2025 - Jupyter Notebook
🚀 Streamline ETL workflows and monitor ML models with a scalable MLOps pipeline for efficient data handling and observability.
Exploratory data analysis of medical appointment no-shows, focusing on data cleaning, feature engineering, and visualization to prepare an ML-ready dataset.
Projeto dbt do Data Lake da Secretaria Municipal de Saúde
This Jupyter Notebook retrieves real-time drug shortage data for GLP-1 drugs using the FDA Drug Shortages API. The program eliminates the need to manually download and clean CSV files by connecting directly to the API.
This program compares fingerstick (BGM) readings with the nearest continuous glucose monitor (CGM) values within a 15-minute window. It calculates the percent difference between the two to assess how closely they align. The results are saved to CSV for visualization in Tableau.
Main repo including core data model, data marts, data quality tests, and terminology sets.
The Tuva Project Docs i.e. where we write and share our knowledge about healthcare data and analytics.
This connector is a dbt project that maps Medicare CCLF claims data to the Tuva Input Layer.
HealthWarehouse product data extraction
A Next.js 15 app with Express.js backend and MongoDB, featuring public landing/products pages and protected add-product functionality using NextAuth.js.
HealthWeave - AI-Powered Health Data Synthesis & Clinical Insights Platform
A multimodal machine learning project to predict 30-day hospital readmission using a RAG-LLM pipeline (ClinicalBERT, FAISS, Mistral-7B) and structured data (ML models).
jameda doctors data extractor
Privacy focused period tracking!
practo doctor data extraction tool
Price Points research, data analyses, and packages. Informational only, not official Turquoise Health products
High-performance async Nahdi Online scraper with sitemap extraction, image management, description service & anti-detection. 5x faster processing.
🏥 Interactive Excel dashboard analyzing hospital ER visits using Power Query, Power Pivot, and DAX for KPI-driven insights.
UbuntuCare Smarter Wait Times is a machine learning–powered system designed to predict patient wait times and optimize clinic queue flow in healthcare facilities.
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