Unofficial open source integration - Connect BambooHR to Claude Desktop for HR data access and workforce analytics
A hands-on SQL practice project using an employee dataset. Covers foundational to advanced querying techniques including filtering, aggregation, grouping, subqueries, and CASE statements demonstrating real-world data retrieval and analysis skills.
Coresignal is a data-as-a-service company providing access to public web data on companies, employees, and jobs through a suite of REST APIs. The platform aggregates and refines more than 4.5 billion data records covering 75M+ companies (with 500+ data fields), 865M+ employee profiles (300+ fields), and 461M+ job postings (85+ fields).
Comprehensive analysis of ABC company employee data, including team distribution, position segregation, age demographics, salary expenditure, and correlations, with visualizations to support workforce insights.
Employee Turnover Analysis using Data Analysis in Excel: This project analyzes employee data using Excel to identify key factors contributing to turnover. By leveraging statistical analysis, pivot tables, and data visualization techniques, it provides actionable insights to reduce attrition and improve employee retention strategies.
React application for displaying and sorting employee data
API and integration profile for Hibob.
This application makes it easier to search for an employee in an employee directory.
This Repository consist of Employee performance analysis reports built using Powerbi and SQL
Developed a Python-based Employee Data Integration System that retrieves employee data via REST APIs, stores records in SQLite, performs SQL-based validation checks and generates reports.
BetterWorks APIs.json profile
An interactive dashboard analyzing employee demographics, attrition, salary trends, and performance using Python and Tableau.
"Exploratory Data Analysis (EDA) on employee dataset using Python and pandas to uncover HR trends, attrition patterns, and workforce insights."
An HR analytics project using Python and pandas to analyze workforce data, uncover attrition trends, salary patterns, and support data-driven HR decisions.
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