HR Analytics: A Complete Employee Data Analysis Project using Tableau Dashboard
Machine Learning Key Projects
Web scraper & HR resume analytics in simple Python script.
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.
HR dashboard and Report using Power BI Query and DAX Query
🤖 Analyze employee reviews to uncover strategic insights for improving talent retention in tech companies, leveraging AI for effective HR solutions.
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
Machine Learning-based HR Analytics system to predict employee attrition using Random Forest with a Streamlit dashboard.
Leveraging IBM Granite to analyze employee reviews and generate actionable HR insights.
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.
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.
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.
This repository is about second project for the class "Data Visualization".
Analysing and sharing insights about the people behind the workforce
Repository for the project about HR analysis. Here we will built model for prediction: who will get promotion?
📊 Analyze loan applications and performance with this interactive Tableau dashboard for consumer lending insights and key metrics.
[19] 15% Leave. But which profile? A priori knows.
Analyzed internal employee data to detect pay equity gaps and unconscious bias using recursive org hierarchy classification, total headcount aggregation, and salary prediction modeling with fairness auditing by gender and department.
EDA on HR dataset to understand employee attrition patterns.
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