HR Analytics: A Complete Employee Data Analysis Project using Tableau Dashboard

Machine Learning Key Projects

Web scraper & HR resume analytics in simple Python script.

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.

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

Machine Learning-based HR Analytics system to predict employee attrition using Random Forest with a Streamlit dashboard.

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

📊 HR Analytics Dashboard (Excel | MIS) Interactive Excel dashboard built on 1470 employee records to analyze attrition, workforce trends, and job satisfaction. Includes KPI tracking, dynamic slicers, and insights for data-driven HR decision-making. 🛠 Skills: Excel, Pivot Tables, Data Analysis, Dashboarding, MIS Reporting

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.

Interactive HR Analytics Dashboard built using Tableau featuring Executive Overview, Workforce Performance, Compensation & Financial Wellness Analytics with interactive dashboards and business insights.

Analysing and sharing insights about the people behind the workforce

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?

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.

Why do employees quit? SQL queries analyzing attrition patterns across 1,470 employees (16.1% overall attrition)

📊 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.

EDA on HR dataset to understand employee attrition patterns.