About

Hey, there! My name is Christina: lover of data science, technology, and problem-solving.

On this website, I focus on demonstrating applied data science techniques using a combination of real-world and simulated data.

I use simulated data to:

• Baseline ground truth
• Demonstrate model performance
• Teach causal reasoning

Some of the topics I will cover include:

1. Causal Inference
   • Experimentation and A/B testing
   • Difference-in-differences
   • Synthetic controls
   • Propensity scoring
2. Statistics
   • Simulating the Central Limit Theorem
   • Verifying the Assumptions of OLS
   • Interpreting Regression Coefficients
   • Bias / Variance Tradeoff
3. Forecasting & Optimization
   • Revenue forecasting
   • Budget allocation
   • Churn prediction
   • Inventory optimization
4. Marketing Analytics
   • Marketing mix modeling
   • Incrementality testing
   • Customer lifetime value
   • Attribution models
   • Uplift modeling
   • Cohort analysis

and more.

If you would like to follow along, subscribe to the newsletter below. I will send out an email to announce each new post.