Projects
These projects focus on workforce forecasting, labor cost simulation, configurable driver analysis, and AI-assisted security review workflows.
Headcount Simulation Framework helps HR leaders forecast future workforce size under join, resignation, and internal transition scenarios.
Model: Markov-chain-based workforce transition model.
Impact: Improves workforce planning with scalable headcount forecasts.
Labor Cost Simulation Framework helps HR and finance leaders forecast future labor costs under uncertain workforce movement scenarios.
Model: EBM-based labor cost simulation model using simulated headcount.
Impact: Improves budget planning with scenario-based labor cost forecasts.
Driver Analysis Framework identifies interpretable drivers across different HR questions and client contexts.
Model: Configurable driver analysis model with tailored data cleansing.
Impact: Delivers interpretable drivers across different HR questions.
Security Review AI Agent automatically responds to security review requests by generating answers to recurring client questions.
Model: AI agent for automated security review responses.
Impact: Automates security review responses with a 60% correct answer ratio.