HR Analytics: A Complete Employee Data Analysis Project using Tableau Dashboard
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Updated
May 17, 2023
HR Analytics: A Complete Employee Data Analysis Project using Tableau Dashboard
Machine Learning Key Projects
Web scraper & HR resume analytics in simple Python script.
HR dashboard and Report using Power BI Query and DAX Query
HR Analytics Case Study using Power BI to analyze employee attrition patterns and identify high-risk segments. Data Tools Used : Power BI | Power Query | DAX
Employee Sentiment Track is a project aimed at understanding organizational climate through the analysis of employee opinions. By leveraging sentiment analysis and topic modeling techniques, this project provides valuable insights into the workplace environment.
Leveraging IBM Granite to analyze employee reviews and generate actionable HR insights.
Resource Identification System finds the best-fit resources for a given project requirements. Scoring model has been used to find best-fit. It particularly matches all the project requirements with what employees possess.
Analysing and sharing insights about the people behind the workforce
An Excel workbook covering various data analysis tasks, including HR data handling, financial modeling, text operations, currency conversions, and stock market analysis. Ideal for learning and practicing Excel functions and tools.
This repository is about second project for the class "Data Visualization".
Repository for the project about HR analysis. Here we will built model for prediction: who will get promotion?
EDA on HR dataset to understand employee attrition patterns.
This repo contains my HR Analytics project to predict employee attrition using an IBM dataset.
HR data analysis for promotions
Applying logistic regression to predict employee attrition and understand key contributors to attrition
HR Analytics: A Complete Employee Data Analysis Project using Tableau Dashboard
Interactive HR Recruitment Analytics Dashboard built in Excel to analyze hiring trends, evaluate candidate profiles, compare candidates, and estimate hiring probability using data-driven insights.
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