I spent 4 years as a Data Scientist at Sony PlayStation, where I focused on fixing and scaling their internal service data systems.

The internal teams were struggling badly. They had to process over 500,000 invoices every cycle, but the old ETL pipeline was painfully slow. People who needed the data for decisions were constantly waiting. The system simply couldn’t keep up with the volume, and it was slowing everyone down.

I completely rewrote the ETL pipeline from scratch using Java. The new version ran 120 times faster and handled all 500,000+ invoices smoothly.

On top of that, I built:

Interactive visualizations so the data was actually easy to understand

Custom web apps tailored for different teams

Real-time dashboards that gave people the insights they needed without waiting

I worked closely with the internal teams throughout — listening to their actual pain points, making sure everything fit into their existing workflows, and continuously improving based on their feedback.

Massive scale (hundreds of thousands of invoices)

Extremely poor performance in the old system

Had to integrate cleanly without breaking anything already in place

Managing stakeholders across multiple teams with different priorities

Building something that would last and could evolve as the business grew

Java, ETL pipeline development, custom web applications, data visualization, interactive dashboards, large-scale data processing.