Data Science

My core technical focus is data science: using statistics, machine learning, programming, and visualization to answer meaningful questions and build useful solutions.

Core Areas

Statistics & Modeling

Inference, hypothesis testing, regression, structural equation modeling, and quantitative research.

Machine Learning

Predictive modeling, feature engineering, supervised and unsupervised learning, and model evaluation.

Analytics & Visualization

Python analysis, exploratory data analysis, Power BI, dashboards, and communicating results clearly.

From Analysis to Delivery

I approach data science as an end-to-end discipline. The goal is not simply to produce a model or chart; it is to create a practical solution that solves problems.

• Define the objective and analytical questions.
• Prepare, explore, and investigate the data.
• Select methods appropriate to the problem, from visualization and statistical analysis to machine learning.
• Evaluate assumptions, performance, and limitations.
• Translate findings into a clear, practical deliverable.