Projects
These projects focus on workforce forecasting, attrition modeling, dashboard automation, and learning analytics for stakeholder decision-making.
Built a probabilistic and stochastic modeling framework to forecast workforce size and labor cost under attrition and transfer scenarios.
Tech: Python, statistical modeling, workforce data
Impact: Supports strategic workforce planning and labor cost forecasting.
Built attrition analysis models using Explainable Boosting Machines, logistic regression, and Bayesian approaches to surface actionable retention signals.
Tech: Python, EBM, logistic regression, Bayesian inference, feature engineering
Impact: Helps identify causal and interpretable retention factors for targeted action.
Built automated HR data processing and reporting workflows with dashboards for more reliable recurring workforce reporting.
Tech: Python, Power BI, HR datasets
Impact: Improved regular HR reporting and made workforce insights easier to share with stakeholders.
Analyzed more than 29,000 registrations and learning activities, plus post-survey impact analysis for learning teams.
Tech: Data analysis, survey analysis, learning data
Impact: Supported learning needs analysis and evaluation of learning content impact.