trung nguyễn

I am an analytically-minded Data Scientist with a strong focus on delivering actionable insights that drive business decisions. Currently, I work at Zalo - VNG, where I spearheaded a data quality initiative that improved insight delivery duration by 40% and saved 70% of the time required to generate reports for the Product Owner. My experience includes building internal tools like AutoEDA, which enables the Product Owner to generate insights in just 15 minutes, and creating dashboards to monitor product performance across various metrics.

My expertise lies in applying machine learning techniques to insight analysis, including clustering, segmentation, and feature importance, using tools such as SQL and Pyspark. I have successfully forecasted key metrics for the Product Team and automated financial reporting, significantly reducing the time spent on these tasks. My previous role as a Data Analyst at Momo E-Wallet further honed my skills in dashboard creation and A/B testing, leading to measurable increases in user engagement and performance metrics.