Projects

Selected work in analytics and data engineering

These projects come from the current resume and highlight predictive modeling, portfolio analytics, and healthcare pipeline design.

Predictive Modeling

Customer Churn Prediction

Machine learning workflow for predicting churn from transactional and behavioral data so teams can act on retention risk sooner.

  • Python
  • Scikit-learn
  • Tableau
  • Built and evaluated classification models to predict churn across multiple customer segments.
  • Engineered features and cleaned historical data to improve prediction quality and decision usefulness.
  • Used Tableau dashboards to visualize churn probabilities, customer segments, and key risk factors.
Financial Analytics

Financial Risk Scoring System

Risk scoring workflow for loan and investment portfolios, built to improve credit decisions and highlight high-risk accounts.

  • SQL
  • Power BI
  • Enhanced risk scoring logic using historical financial and transactional data.
  • Engineered SQL queries and data models to segment customers and surface portfolio exposure.
  • Planned interactive Power BI views for real-time risk monitoring and stakeholder review.
Healthcare Data Pipeline

Healthcare Data Pipeline

End-to-end healthcare pipeline for ingesting, transforming, and reporting on clinical, claims, and provider datasets with HIPAA-aware handling.

  • AWS
  • Snowflake
  • Python
  • Designed ETL workflows that transformed raw healthcare data into structured analytics-ready outputs.
  • Integrated AWS and Snowflake for scalable reporting and near real-time analysis.
  • Delivered Power BI dashboards for healthcare KPIs, claim trends, and patient outcomes.