● Addressed inconsistent code quality by standardizing pylint checks, resulting in a 30% improvement in average scores.● Freed 45% in machine learning deployment cost through research, and implementation with Heroku, Streamlit, and AWS optimizing budget allocation.● Deployed a standardized unit testing template saving 200 team hours annually in the preparation time of code test.

● Saved 200 team hours annually by identifying and automating a data integration process in Power BI, allowing analysts to access refreshed data automatically. ● Increased customer conversion rate by 8% over 2 months by analyzing marketing metrics and identifying high-potential sales funnel optimization opportunities. ● Facilitated applied machine learning and data science training for over 100 employees.