Dao Quang Hoan - Data Scientist

Hi! My name is Hoan Dao. I'm Data Scientist at VNPT - IT. My research interests are in the fields of Data Science and Machine Learning Algorithms

Email: quanghoandaoXgmail.com where X = @

Skype | Github | Facebook | Kaggle

Education

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

Skills

AI and Data Management
Machine Learning, Neural Networks, Data Mining Algorithms, NLP, Computer Vision

Other skills
Problem-solving, Data Structures and Algorithms skills, Computational Thinking, Open Source, Web Development

Main Languages and Frameworks
Python, R, PHP, SQL, Tensorflow, Keras, scikit-learn, pandas, numpy

Experience

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 - Now | VNPT-IT
Build ML pipeline to serve millions of Vinaphone users.

Languages
English
Professional proficiency - B2
Vietnamese
Native
AI Projects
sym

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

sym

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

sym

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

sym

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

sym

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