Christopher P.

Experienced data architect with Master's degree in Applied Statistics from Purdue University. 10+ years of experience building end-to-end data solutions supporting operational, financial, and strategic decision making. Data Engineering - Python, SQL, R, Snowflake Statistical Analysis - Multivariate Analysis, Regression Analysis, Design of Experiments, Multilevel Modeling Data Science/Data Analytics - KPI development, simulation, clustering, regression Machine Learning/AI - traditional ML, AutoML, RAG, Generative AI Data Visualization - Power BI, Streamlit, Shiny, Dash Data Strategy - Data Management, Data Quality & Observability, Data Issue Resolution