Hernan Aronson

Portfolio

Selected projects focused on BI, analytics and decision support. Each project includes objective, tech stack and highlights.

SPY ROI ML Model

Objective: Analyze forward returns based on technical signals and evaluate predictive strength.

View on GitHub →
PythonPandasScikit-learn
  • Feature engineering on historical market data
  • Evaluation across multiple horizons
  • Clear interpretation of results for decision-making

Telecom Churn ML

Objective: Predict churn and identify key drivers to support retention strategies.

View on GitHub →
PythonPandasScikit-learn
  • EDA and data cleaning workflow
  • Model comparison using standard metrics
  • Insights on key churn drivers

Happy Insurance BI

Objective: Build BI dashboards for KPIs, trends and operational visibility.

View on GitHub →
Power BIDAXData Modeling
  • Star schema design for reporting
  • KPI dashboards and drilldowns
  • Stakeholder-ready layout and UX