Found 13 repositories(showing 13)
IhebBelhadj
A Python project that transforms a static HR employee snapshot into a rich, historized dataset of event logs, perfect for powering HR analytics and testing ELT/ETL pipelines.
This project demonstrates end-to-end ETL pipelines for HR and people analytics. It uses Oracle Database and Apache Airflow to extract, transform, and load data, and generate reports on workforce metrics.
cicasiano
HR Analytics ETL and Dashboard Project
ttctien92
No description available
metakev97
No description available
mujtabasaqib19
This project demonstrates an end-to-end HR data analytics pipeline using modern data tools. It covers the ETL process, cloud warehousing, and interactive dashboarding for HR insights.
RalF-in
Three MySQL data analytics projects in Sales, HR, and Smartphone domains with star schema, ETL pipelines, and advanced SQL for key insights.
ckprajwal21
An interactive HR Analytics Dashboard built using Microsoft Power BI. This project demonstrates how to transform raw HR data (from CSV files) into actionable insights using Power Query (ETL) and data visualization techniques.
SuryahVadivel
My Power BI Project Portfolio — end-to-end POCs using real data retail, finance, payments, HR, real estate, and startup analytics showcasing business intelligence, ETL, and storytelling with data.
sunnyside94
This project demonstrates end-to-end ETL (Extract, Transform, Load) and analysis of HR data, showcasing practical data engineering and analytics skills within a Human Resources context. It includes: ETL Pipeline, Exploratory Analysis, Tools & Tech, and Business Value
Juan-Estevan2117
This ETL workshop project uses Python and Pandas to process candidate recruitment data. It extracts raw CSV profiles, cleans and transforms metrics like technical scores and experience, and loads the refined datasets into a SQL database for HR analytics.
danblacknote
Building Full Functional Data Warehouse Using SQL Server that includes ETL Processing, Data Modeling, Analytic Metrics. this data warehouse project is built from 4 different data sources Sales, Finance, HR, and Operation Database
This project is built in predictive analytics pipeline using Logistic Regression (85% accuracy) to forecast employee absenteeism. Automated ETL in Python storing results in MySQL, and designed a Tableau dashboard to help HR proactively manage high-risk cases, cutting report time by 70%.
All 13 repositories loaded