MAIS = MAnagement Information Simple , 100% SQL time series consolidation framework for dashboards, reports, charts.

WaG - install your own word profile generator out of diverse data resources

pocketlife is a telemetry module used to gather info on the runtime of Python programs.

Advanced and Fast Data Transformation in R

This example shows how to aggregate data by the field's first value in the Pivot Grid control.

An environmental data synthesis pipeline for the Biodiversity Exploratories and other research consortia

A comprehensive real-time Weather Monitoring System that fetches and processes weather data from OpenWeatherMap API for major Indian cities, featuring daily summaries, alerts, ML predictions, and an interactive dashboard.

Tasks from my course MYSQL at SoftUni

Go library for efficient data accumulation and processing.

An audiobook data aggregation API that harmonizes data from multiple sources into a unified stream. It offers a consistent and user-friendly source of audiobook data for various applications.

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

This project focuses on analyzing pizza sales data to uncover key insights and trends using SQL. The dataset includes detailed information about pizza orders, customer preferences, and sales performance.

Daggy - Data Aggregation Utility and C/C++ developer library for data streams catching

This repository offers a comprehensive collection of tools and scripts for data science, encompassing essential tasks such as data cleaning, wrangling, and aggregation. It includes practical examples and utilities for numerical computations with NumPy, data manipulation with Pandas, and effective data visualization techniques.

Small project using a database and some micro-controllers to store and display the living factors of rooms.

Search tools to help you find people, focused towards UK resources.

Package smartpoll offers dynamic, reactive scheduling for synchronized polling of multiple data points.

Discover a comprehensive approach to constructing credit risk models. We employ various machine learning algorithms like LightGBM and CatBoost, alongside ensemble techniques for robust predictions. Our pipeline emphasizes data integrity, feature relevance, and model stability, crucial elements in credit risk assessment.

An Audnexus client proof of concept for Plex, providing rich author and audiobook data. Developed in Python, offering enhanced user experiences via Plex's legacy plugin agent system.

Scripts to automate general time-consuming tasks