Nhu Hoang is a Data Scientist with 5 years experience in Artificial Intelligence, Recommendation system, Time series, deep learning and other SOTA fields. Since August 2020, she become lead Data Scientist at White Narwhal Japan to develop AI solutions and applications for regional and internation clients. She also owns decent experience in Marketing Analytics at Unilever Vietnam (2014-2016) before moved to Japan to pursue higher education.
She received here Master degree from Tohoku University, Japan in September 2018 and received several awards during her study including MEXT full scholarship for researcher award by The Ministry of Education, Culture, Sports, Science and Technology of Japan from 2016 to 2018; and the best oral presentation award in the 11th Vietnam-Japan Scientific Exchange Meeting in Japan.
Her research interests include Artificial Intelligence; Recommendation and Personalization system; Forecasting; Statistical machine learning; Computer Vision; and data mining.
Master of Interdisciplinary Studies, 2018
Tohoku University
Bachelor of International Business Management, 2014
Foreign Trade University
Machine Learning, 2019
Standford University - Coursera
Tracking, managing, and optimizing memory usage in Python is a well-understood matter but lacks a comprehensive summary of methods. …
Analyzing MakerDa statistics, one of the most popular DeFi protocol, seeds a light in DeFi market performance
Speed up deep neural network training by tuning Optimizer in Tensorflow
Discussion of 5 popular techniques to speed up training in deep neural net (Initialization, Activation function and Batch …
How to make Support Vector Machine algorithm do exactly the way you want
Exploring Time series with visualization and identify neccessary trend, seasonality, cyclic in order to prepare for time series …
Denote characteristics of the Time series and forecast its future values using Retail sales data as example code
Comprehensive summary of ARIMA model and how to apply it to forecasting
Deep learning, Machine Learning, Scikit-learn, Keras, Pytorch
Analytics with Time Series, Classification, Machine learning models, Data Visualization
Advanced
Advanced
Vietnamese, English - Native; Japanese - Fluent
Business oriented growth Mindset, Strategic thinking, Market research, Digital Marketing, Leadership, Teamwork
Responsibilities include:
Area: Recommendation system, Time series, Machine learning, Deep learning
Responsibilities include:
Area: Time series, Forecasting, Statistical Machine learning, Marketing analytics
Area: Time series, Forecasting, Marketing insights, Market development
Area: Time series, Forecasting, Marketing insights