Hi! My name is Hoan Dao. I'm currently Senior Project Manager with a strong background in Data Science and AI/ML solution delivery. Proven ability to lead cross-functional teams in building scalable data platforms, intelligent systems, and AI-driven products. Focused on bridging business strategy and technical execution to deliver measurable impact, operational excellence, and long-term product value.

Email: quanghoandaoXgmail.com where X = @

Linkedin | Github | Facebook | Kaggle

Hanoi University - Vietnam
Sept 2011 - Jul 2015 | Hanoi
Bachelor's degree in Information Technology

Ca' Foscari University of Venice - Italy
Sept 2017 - 2020 | Venice
Master's degree in Computer Science - Data Management and Analytics

AI and Data Management
Machine Learning, Neural Networks, Data Platform, NLP, GenAI, AI Agent

Project Management
Cross-team leadership, Product thinking (vision, roadmap), Delivery capability, Cost optimization, Process design (HITL framework)

Main Languages and Frameworks
Python, R, SQL, scikit-learn, pandas, numpy, Jira

Full Stack Developer
June 2016 - Sept 2017 | SCUTI CO., LTD
Maintain and develop internal infrastructure and software, process for a small team as Scrum Master role

Full Stack Developer
Nov 2015 - Apr 2016 | Media Max Japan CO., LTD
Development of web applications and web services for B2B and B2C.

Data Scientist
Jan 2020 - Aug 2023 | VNPT-IT
Build ML pipeline to serve millions of Vinaphone users.

Project Manager
Aug 2023 - Present | VNPT-AI
• Build products to bring value to customers • Defined product vision, roadmap, and delivery milestones aligned with organizational AI strategy and long-term scalability goals. • Managed cross-functional teams (Data Engineers, ML Engineers, Backend, Frontend, QA) overseeing task allocation, sprint planning, timeline tracking, and risk mitigation. • Designed and standardized Human-in-the-Loop (HITL) annotation workflow, ensuring quality control, reviewer validation layers, and measurable labeling accuracy improvement.

Kmeans and Spectral Clustering on Image Segmentation
An implementation of k-means and spectral clustering on few UCI datasets. We also use K-means and spectral clustering on the Berkeley Segmentation Benchmark

Time Series on Global Temperature
PROJECT FOR STATISTICS FOR SPATIO-TEMPORAL DATA. AN ANALYSIS ON THE GLOBAL TEMPERATURE ANOMALY OVER 140 YEARS AND PREDICTING THE FUTURE

Networks in Economics and Social Science
A final report for the course NETWORKS IN ECONOMICS AND SOCIAL SCIENCE

Face Recognition
A project to detect and recognize the famous person given a large dataset. How to build a face detection and recognition system

Tensorflow practice
Some easy examples for practicing Tensorfow for beginners. This notebook shows how to build a neural network and how to train, evaluate and optimize it with TensorFlow