data-normalization

FxNorm-Automix - Implementation of automatic music mixing systems. We show how we can use wet music data and repurpose it to train a fully automatic mixing system

Local-first Python CLI that turns Garmin Account Data Export into reproducible running, FIT, sleep, HRV, and training datasets with QA and provenance.

Memory for AI systems, as plain tables that any tool, model or person can read, and that any system can share.

Term Project repository for System Analysis and Design course in ITM, Seoultech.

A utility for defining metadata for data types and formats.

I made various data normalization operations with python scripts. Target data in CSV format

Developed a Python-based web scraper leveraging generative AI with LangChain and GPT-4o-mini to extract and classify FDA drug approval data. Processed over 1,770 records, dynamically categorizing medications and treatment areas using LLMs to simplify complex medical information into actionable insights.

Desktop app that scrapes cash-bid tables from grain elevator websites, normalizes prices, basis, futures months and delivery windows into one schema, and builds formatted Excel workbooks.

A production-ready serverless pattern for intelligent data normalization using Claude Haiku via AWS Bedrock

This project predicts used car prices using a feedforward neural network regression model implemented in PyTorch. Features include car age, mileage, and other attributes. The pipeline supports feature normalization, train/validation/test splitting, and visualization of training and validation loss curves.

Clinical Decision Support System (CDSS) for Emergency Triage. Python implementation of regional healthcare protocols featuring complex logic, input normalization, and automated clinical pathways

A large pile of interesting and/or useful information

govaitextextract extracts structured AI/tech initiative data from text for policy, news, and recruitment analysis.

An end-to-end data engineering project that extracts book metadata from the Open Library API, transforms and normalizes it into a relational PostgreSQL database, and exposes the curated dataset through a FastAPI REST API. The project also extends into an event-driven library simulation using Kafka and Redis for real-time state management.

Credit risk assessment platform combining heterogeneous dataset normalization, calibrated ensemble learning, SHAP explainability, underwriting reports, and portfolio analysis.

A collection of bioinformatics and data mining scripts

A Streamlit-based clinical decision-support demo showcasing data cleaning, normalization, rule-based recommendation logic, and workbook-driven pipeline design.

🌟 Fraud Detection in Application 🌟 Through Isolation Forest and K-Means Clustering, the project detects suspicious patterns like inconsistent income, duplicate entries, and unrealistic employment data. This end-to-end workflow transforms raw data into actionable fraud insights — enhancing trust and accuracy.

Python tool for geochemical processing of REM/EDS data: removes oxygen and normalizes elemental compositions to 100 wt%. Validate results before use!

Feature wise normalization: An effective way of normalizing data