AI Intern
Resume:
***.************@*****.**
u.vn
Ho Chi Minh city, Vietnam
2020
Specialized scholarship in 2nd
semester of 2019-2020 academic
year
2018
Third prize - Mathematics
Contest for Excellent students,
city region.
Looking for a challenging role in a professional company to develop myself in the ability to think logically, creatively, and improve qualifications, while making a significant contribution to the success of the company as well as to enhance my knowledge about new and emerging trends in the AI sector.
Major: Computer Engineering Aug 2019 - Present
Ho Chi Minh City University Of Technology - Vietnam National University SCIENTIFIC RESEARCH SEP 2021 - Present
SCIENTIFIC RESEARCH SEP 2021 - Present
Development Of A Predictive Model For Time Series Using Deep Learning For Real Applications
* Role: Project Investigator
* Main works:
Study the basic theories of predictive models used in deep learning. Research techniques of machine learning and deep learning for pre- processing of the dataset.
Study techniques used to develop predictive models such as one-hot encoding, word embedding, Attention Mechanism, etc. Research neural networks in deep learning such as Multi-Layer Perceptron, Recurrent Neural Network, Long Short Term Memory, etc. Abnormalities Predictive Research In The Use Of Mobile Network 4G
* Role: Developer
* Main works:
AI Intern
DANG TRAN DAT
// Contact Information
https://www.facebook.com/tra
ndat.cse.004100/
// Skills
English
// Honors & Awards
// Objective
// Education
GPA: 7.33/10
// Technical Experience
2017
Gold medalz - Olympiad of STEM
Education for High school
student, city region
2017
Second prize - Nguyen Huu Cau
Mathematics Contest for
school's student (Grade 11).
Soccer, Guitar
2022
IELTS Certificate with band 6.0
issued by IDP Education
Data visualization
Fig out peculiarities of the data
Research available techniques for building models
Building, training and tuning models for the highest accuracy based on custom accuracy metrics
Knowledge
Technologies
* Specialized Course Studied:
Machine Learning; Software Engineering; Database system; Data structures and algorithms; Discrete structures for computer science; Mathematical modeling; Object-oriented programming; Functional programming; Operating systems; Computer architecture.
* Personal project:
Face recognition using CV2.
Translate Machine using deep learning (RNN)
Web Traffic Time Series Forecasting using deep learning (Recurrent Neural Network).
* Hardware:
The ability to use microchips.
* Software:
Develop machine learning and deep learning models using Google Colaboratory, PyCharm, Visual Studio, etc.
Writing reports in LaTex.
// Interests
// Certifications
// Knowledge & Technologies
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