• Launched a Common Data Model using star schema, integrating data from three databases, enabling swift processing of one billion+ records using Python, resulting in an impressive 200% increase in data team efficiency

• Designed an algorithm for automated data quality control, and planned a scheduler to ensure consistent, user-friendly data updates for all non-technical members with a 100% adoption rate

• Configured a Linux server to host the Common Data Model, and established a reverse proxy using Nginx, MS SQL Server, and SSIS, which enhanced performance and accessibility, increasing processing speed by 300%

• Engineered a cross-functional Power BI dashboard to visualize product portfolio, performance metrics, and financial indicators for six sales teams, empowering teams to make data-driven decisions more efficiently

Teaching Assistant at Computer Science Graduate School

Course:

Database Implementation

Web Development

Secure and Cloud Computing

Computer Networks

Introduction to Computer Networks

Computer Architecture

Graduate Tools - Data Science

Graduate Algorithms

Cyber Security