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

Computational Suite for Bioinformaticians and Biologists (CSBB) is a RShiny application developed with an intention to empower researchers from wet and dry lab to perform downstream Bioinformatics analysis

The PyDI framework provides methods for end-to-end data integration. The framework covers all steps of the integration process, including schema matching, data translation, entity matching, and data fusion. The framework offers traditional string-based methods as well as modern LLM- and embedding-based techniques for these tasks.

Cross-platform desktop app to search, compare, normalize and analyze Excel files. Data regions, column-level type correction, in-place export. Built with .NET 8 + Avalonia UI.

An exploratory data analysis on a global terrorism dataset

Machine Learning Algorithms to predict overall movie gross using IMDB dataset from kaggle

preon (PREcision Oncology Normalization) is a fuzzy search tool for medical entities.

DeltaFi is a flexible, code-light data transformation and normalization platform.

Zero dependency Rust implementation of ASAP (Automatic Smoothing for Attention Prioritization) for Time Series

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

🔷 Data Cleaning and Insight Generation from Survey Data 🔷 Cleaned and preprocessed Kaggle’s Data Science Survey data, handling missing values, duplicates, and categorical responses. Applied label encoding and normalization to prepare the dataset for analysis. Built 12+ visualizations (pie, scatter, box, line, heatmap, etc.)

A utility for defining metadata for data types and formats.

Contact data normalization adapted from the Empreinte Sociométrique's normalizers

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

Web app to fetch artists events data via public API. Managing global state with redux-toolkit. Responsive design with material-ui. Cool animations and transitions

AutoTable is a specialized SaaS application engineered for high-efficiency spreadsheet sanitization.

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.

Feature Engineering with Python

Transformer model for Biomarkers prediction: Evaluating the impact of ECDF normalization on model robustness in clinical data

Read nested arrays safely and cast values predictably in PHP 8.4+