Local/cloud data pipeline that transforms raw GitHub event data into analytics-ready tables and visualizes repository activity through a Streamlit dashboard.
Application of Statistical Process Control (SPC) methods to monitor process stability, detect anomalies, and highlight operational risks.
Comparison of test groups to determine the most effective strategy for boosting revenue.
ABOUT ME
Data / Analytics Engineer
Driven by curiosity and a passion for problem-solving, I focus on building efficient data systems and optimizing processes, helping businesses use data to create meaningful impact.
PostgreSQL
Python
Snowflake
Excel