Extraction of data from different Database sources, Transformation (unification and cleaning) of extracted data and laoding into the data warehouse

Dataset cleaned and queried to visualisation for HR Employee data report. Skills: PowerBI, MySQL, EDA, ETL

Candidalysis is a project aimed at analyzing student performance for academic year 2022 to 2023 using Power BI. The primary goal of this project is to extract, visualize, and interpret various key performance indicators (KPIs) related to exams conducted during this period.

Processo de ELT da Análise Exploratória de Dados sobre Pix.

This project performs data analysis on Amazon Global Sales using Power BI. It implements data preprocessing, data cleaning, Power Query and data visualization.

Sugar candy for data scientist. Easy manipulation in time-series data analytics works.

A desire to win my Fantasy Football leagues led to a realization that I have a passion for Data Analytics. I will create my own database using postgreSQL and pgAdmin.

Dynamic website scraper and email notifier.

Air Quality ETL is a Python repository facilitating the extraction, transformation, and loading of air quality data from RapidAPI to a Pandas DataFrame for easy analysis and customization.

Processador de dados

Extractor of Ethereum data to Dgraph format, utilities to analyse the indexed data.

Netflix users insights through data visualization - Power BI

This project is a comprehensive data engineering solution that extracts HR data from a GitHub repository, performs data transformations using Azure services, and creates an interactive HR dashboard using Power BI. The goal is to enable HR professionals and decision-makers to gain insights from the HR data for better workforce management.

A simple, reusable, templates based ETL (Extract, Transform and Load) library and framework written in Python

Đồ án thực hành môn HTTT phục vụ Trí tuệ Kinh doanh, HCMUS K19 | Project for Information Systems for Business Intelligence course

This repository showcases my university "Laboratory of Data Science" project. It encompasses the implementation of a data warehouse, ETL process, Data Cube, MDX queries, and an interactive dashboard.

This repository hosts a collection of Python scripts designed to work with ETL jobs.

ETL process and EDA of user top artists & tracks data in Spotify using Spotipy, Pandas, Airflow and Seaborn

PyQt5 app for JSON parsing and ETL processing

Implementation of an ETL process for real-time sentiment analysis of tweets with Docker, Apache Kafka, Spark Streaming, MongoDB and Delta Lake