Quan do

Quan Do is an accomplished Machine Learning Engineer at Latitude Financial Services, specializing in personalized offerings that have generated a notable $3.5 million uplift. Prior experience includes positions as a Data Scientist at Patterson Cheney Cars and Trucks, where data transformation efforts significantly enhanced performance across various departments, and at THE ICONIC, where Quan developed a deep learning-based fashion style recommendation engine. Additionally, Quan worked as a Data Science Researcher at the University of Technology Sydney, focusing on processing diverse data types to derive insights and create visual dashboards. Early career roles encompassed leadership as a Senior Software Engineer at FPT Software, managing a team for a major Japanese client project, and as a Product Manager at Nokia, responsible for product features and market competitiveness. Quan's foundational experience includes software engineering at Samsung Electronics, specifically in developing image quality enhancement algorithms. Quan holds a PhD in Data Science from the University of Technology Sydney.