作品集 · Selected work

Projects in bloom

A selection of analytics projects spanning Power BI, Tableau, and Python. Each one is about the same thing: turning data into clear, actionable decisions.

病院↗

Clinical Operations Analytics — Patient Flow

Designed an interactive Power BI report analyzing admission rates, wait times, and department utilization across a simulated hospital. Architected a star-schema model with row-level security and advanced DAX, using decomposition trees to surface wait-time bottlenecks.

  • Power BI
  • DAX
  • Star Schema
  • Power Query
  • RLS
公共↗

Public Infrastructure Spending Analysis

Analyzed U.S. government infrastructure spending (USASpending.gov) in Tableau by department, fiscal year, and project category. Built LOD expressions and dual-axis charts, delivering findings as a guided Tableau story with dynamic filters and parameters.

  • Tableau
  • LOD Expressions
  • Data Storytelling
予測↗

Predictive Customer Risk Intelligence

Built and evaluated supervised classification models (Logistic Regression, Random Forest, k-NN) in Python to predict customer churn. Assessed precision, recall, and F1, then translated feature-importance insights into retention recommendations.

  • Python
  • scikit-learn
  • Classification
  • Churn
需要↗

Econometric Demand Forecasting

Developed ARIMA and regression-based time-series models to forecast weekly product demand from historical retail sales. Translated forecasts into inventory recommendations — optimizing reorder timing and safety stock to cut stockouts and holding costs.

  • ARIMA
  • Time Series
  • Forecasting
  • Python