My work is about making data useful and systems efficient. I use tools like AWS for cloud tasks, Databricks for handling big data, and Dash for making data easy to understand.

I'm a Data Engineer, DevOps expert, and Software Developer at California State University Long Beach. My work is about making data useful and systems efficient. I use tools like AWS for cloud tasks, Databricks for handling big data, and Dash for making data easy to understand.

In DevOps, I improve how we build and share our software, making things run smoother. As a developer, I create applications that are easy to use, focusing on solving real problems.

Achievements:

● At Institutional Research & Analytics, I designed a Major Change Index dashboard using Plotly Dash, boosting user engagement by 30%.
● Led the migration to Databricks at IRA, enhancing data processing speed by 40% and system performance by 35%.
● Upgraded to a CatBoost ensemble learning model, improving key metrics like accuracy and precision by 27% in admission yield predictions.
● In PACK LAB, CSULB, I contributed to a reinforcement learning project, reducing intersection wait times by 20%.
● Managed CI/CD pipelines efficiently, cutting down training time by 40% and optimizing RL algorithms.

Skills:

● Making data work (Data Engineering)
● Building better software systems (DevOps)
● Writing code that solves problems (Software Development)
● Cloud computing (AWS)
● Big data analytics (Databricks)
● Turning data into visuals (Dash)

I believe in making tech easy to use and understand. If you're looking for someone who can turn complex data into simple solutions, let’s talk! Reach me at [email protected].