An interpretable system that models the future of work as an equilibrium under AI-driven forces. Instead of predicting job loss, it decomposes workforce disruption into automation pressure, adaptability, skill transferability, demand, and AI augmentation to explain stability, tension, and transition paths by 2030.

A Streamlit dashboard that measures skill adaptation debt instead of predicting outcomes. It decomposes pressure into churn, novelty, and breadth to explain which roles/industries are becoming harder to staff. Includes role/industry reports, skill pressure maps, what-if scenario simulation, and a dataset explorer.

Working on Project related to Workforce Analytics wherein we need to understand and help the organization with its HR and workforce analytics for sustaining the business. Trying to understand the factors/ variables related to employee attrition and retention along with ensuring the business does not gets effected. Performing EDA on the features …

A Power BI dashboard for analyzing HR metrics, including employee retention, retrenchment status, and overall workforce statistics. This project demonstrates data visualization and business intelligence skills.

BistroFlow Pro – A modern, lightweight operations hub that helps restaurants and cafés run smoother shifts, optimize staffing costs, and improve team performance.

Employee performance prediction using XGBoost multiclass classification (92.5% accuracy, 93.3% CV F1-score) with SHAP interpretability. Analyzes 1,200 employee records across 28 features, identifies top 3 performance drivers, and provides HR recommendations. Full pipeline: EDA, feature engineering, model comparison, and deployment-ready inferen

A data-driven HR analytics project analyzing employee behavior, attrition, compensation, and work-life balance to provide actionable insights for improving retention and workforce management. The analysis is performed using MySQL, Excel, PowerBI, and Tableau.

Unofficial open source integration - Connect BambooHR to Claude Desktop for HR data access and workforce analytics

Unified API gateway for all analytics - Analytics Cluster

SQL-based analysis of global layoffs (2020-2023). Data cleaning, EDA with CTEs & window functions. Identifies industry trends & workforce reduction patterns.

An interactive dashboard for workforce analytics, showcasing insights into employee demographics, attrition trends, and performance metrics. Built using Power BI to enable data-driven HR decisions and improve organizational efficiency.

The HR Roster Change Detection Pipeline is an automated solution for processing HR roster data. Leveraging Apache Airflow and PostgreSQL, it enables seamless data ingestion, deduplication, and change detection, streamlining HR operations.

NLP-based workforce analytics using TF-IDF, clustering, and career trajectory analysis from LinkedIn data.

Interactive Power BI dashboard analyzing employee attrition patterns across 1,470 IBM employees. Identifies key retention drivers including department risk (Sales: 20.6%), tenure impact, and overtime correlation (3x higher attrition). Built with Power Query, DAX, and data storytelling best practices.

A SQL-driven exploration of workforce dynamics, progression indicators, and employment stages

IBM HR Analytics Employee Attrition Analysis project exploring key factors behind employee turnover, revealing high-risk roles and demographics, and supporting data-driven retention and workforce planning.

Analytics Portal UI (React) - Analytics Cluster

SQL analysis of HR employee data to uncover trends in hiring, retention, remote work, and workforce diversity. Built with MySQL.

This project focuses on analyzing employee attrition using the HR Insights: Tracking Workforce Trends dataset. The objective is to identify key factors influencing employee turnover by performing exploratory data analysis and visualization. The insights derived can help HR teams improve retention strategies and workforce planning.

"Exploratory Data Analysis (EDA) on employee dataset using Python and pandas to uncover HR trends, attrition patterns, and workforce insights."