Anh-tho Le is a data scientist with 10 years' experience applying analytics and ML to retail, banking and e-commerce problems across Southeast Asia. She has a strong computer science foundation (MSc in Informatics, Grenoble) and is fluent in Python, SQL and Spark, building production-ready solutions from web-scraped datasets to regional catalog ranking and demand-forecast systems. Her work spans end-to-end pipelines—feature engineering, forecasting, classification and automated tagging—and she has delivered measurable uplifts in conversion and forecasting accuracy for brands like Zalora, THE ICONIC and Dafiti. At Timo and BravoHR she combined transactional analytics, survival and sequence mining to inform product and fraud-detection decisions, and she prototypes dashboards and recommenders to drive operational adoption. Now based in Ho Chi Minh City and currently at QUAVEO, she brings both research internship experience in NLP and practical web-development roots, which help her bridge model development with deployable user-facing tools. Colleagues describe her as a pragmatic problem-solver who turns messy, large-scale data into actionable business impact.
10 years of coding experience
9 years of employment as a software developer
Bachelor's Degree Information Technology, Bachelor's Degree Information Technology at University of Science and Technology of Hanoi
Master of Science - MS Informatics, Master of Science - MS Informatics at National School of Computer Science and Applied Mathematics of Grenoble
Full Stack Web Developer Computer Software Engineering, Full Stack Web Developer Computer Software Engineering at Free Code Camp
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