A lightweight next-gen data explorer - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB, Elastic Search, and Clickhouse with Chat interface

Arkouda (αρκούδα): Interactive Data Analytics at Supercomputing Scale 🐻

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Interactive tools for the visualization and analysis of multidimensional photoemission data

Streamlit — A faster way to build and share data apps.

Portfolio of Data Science projects developed during DNC course. Contains notebooks, datasets, exploratory analyses and machine learning models using Python, pandas and scikit-learn. Documents my learning journey in data analysis, visualization and predictive modeling.

History of BuyVM/BuyShared/Frantech stock data scraped from buyvmstock.com & buyvm.hasstock.net

Interactive App for performing exploratory data analysis (EDA) on any dataset with just a few clicks.

Apache Superset is a Data Visualization and Data Exploration Platform

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

Complete solution for extracting currency pair quotes data with comprehensive testing, parameter validation, flexible configuration management, Hexagonal Architecture, CI/CD pipelines, code quality tools, and detailed documentation.

An offensive data enrichment pipeline

README for the GitHub Profile Overview

Extract the MODS/ALTO metadata of a bunch of METS/ALTO files into pandas DataFrames for data analysis

Evaluate the cost-effectiveness of various in-app purchase bundles available in gacha games.

Lightweight Python library that transforms REST API responses into well-structured Pandas DataFrames — with built-in retry logic, schema validation, and intelligent type inference.

The aim of this project is to analyze AirBnB listings in Paris to determine the impact of recent regulations

The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data 📊

Rosalia is a Data Analyst; with deep knowledge of enterprise codebases; uses qualitative and quantitative data into market opportunities and threats

This project involves RFM analysis (recency, frequency, and monetary) to segment customers based on their purchase behavior and provide actionable insights for better business decisions.