Wren Engine is the backbone of the semantic layer - The semantic engine for LLMs, bringing business context to AI agents.

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

Apache Superset is a Data Visualization and Data Exploration Platform

Self-serve BI to 10x your data team ⚡️

Snowflake Snowpark Python API

🦖 A SQL-on-everything Query Engine you can execute over multiple databases and file formats. Query your data, where it lives.

The Tuva Project Docs i.e. where we write and share our knowledge about healthcare data and analytics.

Maestrom is a program for Magic, the Gathering enthusiests to store their physical card collection digitally via a document scanner.

Main repo including core data model, data marts, reference data, terminology, and the clinical concept library

Data Analytics Internship Project

This repository is created as part of the Data Science Coursework

Solução completa dedicada a realizar ETL de dados de cotações de moedas usando Python. Fonte dos dados: https://docs.awesomeapi.com.br/api-de-moedas

Graph-indexed Pandas DataFrames for analyzing hierarchical performance data

Developer-first embedded analytics

Imagine a fusion of ‘Eskom se Push’ and ‘X’. The Republic allows users to raise concerns and spread awareness about government services through incident reports, with cool data visualizations providing a dynamic overview of public sentiment on service delivery.

Unlock insights into the U.S. healthcare landscape from 2019 to 2020. Our PowerBI-driven analysis delves into hospital performance, patient outcomes, and payer-provider dynamics. Dive into detailed reports and visualizations for informed decision-making, empowering healthcare stakeholders, and shaping the industry's future.

The modern replacement for Jupyter Notebooks

Supercharge BigQuery with BigFunctions

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

This project focused on cleaning, processing, and analyzing sales data with MS Excel to understand customer behavior and boost revenue. Using pivot tables and various charts, we created an interactive dashboard and comprehensive report. The insights gained supported strategic decisions and promoted business growth.