Hi, I'm Lubo
Data isn’t just numbers — it’s a powerful asset for smarter decisions.

By looking beyond the numbers,

I help your organization grow — in profit, performance, and reputation.

What’s Going Wrong With Diabetes Care? (MySQL)

I analyzed data from 107,766 diabetic hospital visits to find out why so many patients return within 30 days. Key findings:

Patients on 16+ medications had a 12.5% readmission rate. Those on 5 or fewer had just 7.5%.
Changing medications during the stay raised the rate from 10.6% to 11.8%.
Patients without A1C or glucose tests had an 11.4% readmission rate — higher than those tested.
Nephrology and Vascular Surgery had rates above 15%, well over the average.

This project turns raw healthcare data into clear insights hospitals and industries can act on.

About Me

Hi, I'm Lubo
Data isn’t just numbers — it’s a powerful asset for smarter decisions.

By looking beyond the numbers, I help your organization

grow — in profit, performance, and reputation.

See My Work

What’s Going Wrong With Diabetes Care?(MySQL)

I analyzed data from 107,766 diabetic hospital visits to find out why so many patients return within 30 days. Key findings:

Patients on 16+ medications had a 12.5% readmission rate. Those on 5 or fewer had just 7.5%.
Changing medications during the stay raised the rate from 10.6% to 11.8%.
Patients without A1C or glucose tests had an 11.4% readmission rate — higher than those tested.
Nephrology and Vascular Surgery had rates above 15%, well over the average.

This project turns raw healthcare data into clear insights hospitals and industries can act on.

10M+

Rows

Analyzed

10+

Years

People Skills

99+

Happy clients

What My Professor Says

⭐️⭐️⭐️⭐️⭐️

“Lubo is one of the most driven and reliable students I’ve taught. His technical skills, problem-solving ability, and clear communication make him a standout in both teamwork and independent work.”

Julie Brennan, Assistant Professor, Math & Computer Science

Lincoln Land Community College

We’re Matched.

If you’re here, it’s meant to be.

Let’s turn your data into a story — one that drives real success.

We’re Matched.

If you’re here, it’s meant to be.

Let’s turn your data into a story — one that drives real success.

Contact Me

Follow Me

SKILLS

Created by Lubo Bali

Optimizing Iron Yield with Python: A Technical Exploration of the Flotation Process

In this project, I worked with a real-world dataset from a mineral flotation plant containing 737,453 rows and 24 columns. Using Python along with Pandas, Seaborn, and Matplotlib, I explored how process variables like pH, reagent flow, and foam levels influence iron concentrate quality. Through data cleaning, visualization, and statistical analysis, I identified the key conditions linked to both strong and weak performance. While the data comes from mining, the approach can be applied to any business focused on improving efficiency through data.