People Analytics Specialist · 7+ Years · Talent · Learning · Total Rewards
I own end-to-end people analytics initiatives partnering with Learning & OD, Employee Experience, Talent Business Partners, Total Rewards, and Access & Opportunity to support workforce, talent, and compensation decisions.
At NRG Energy I design and deliver enterprise Power BI dashboards like Learning History, Mid-Year & Year-End Check-In, Impact, and Talent Assessment giving leadership visibility into learning effectiveness, performance conversations, and talent readiness. I also build compensation and rewards analytics covering Sales Compensation, Merit & AIP planning, and Equity reviews, with secure data models using role-level security (RLS) and Python-based workflow automation.
Focused on scaling people insights for innovative teams driving business growth.
| Project | What It Does | Stack |
|---|---|---|
| 👥 Workforce Forecasting Model | Headcount forecasting, scenario analysis, hiring velocity & cost projection | Python · Streamlit · Plotly |
| 🚨 Employee Attrition Predictor | ML model identifying at-risk employees with 96% AUC + SHAP explainability | XGBoost · SHAP · Streamlit |
| 📊 Recruiting Funnel Analysis | End-to-end pipeline analytics — conversion, time-to-hire, source & diversity | Python · SQL · Power BI |
- 🔮 Workforce Forecasting — scenario-based headcount planning, attrition modelling, hiring velocity
- 🏆 Talent & Performance — C-suite talent assessments, readiness analytics, Mid-Year & Year-End dashboards
- 📚 Learning Impact — program effectiveness, participation ROI, Learning History dashboards
- 💰 Compensation Analytics — Merit & AIP planning, Sales Compensation, Equity reviews, RLS data models
- 🎯 Recruiting Analytics — funnel conversion, source effectiveness, DEI pipeline metrics
- ⚙️ Data Engineering — scalable Power BI data models, Python automation, role-level security
