Oct **, ****

ads5ms@r.postjobfree.com

u.vn

092*******

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 JUNE 2022 - AUGUST

2022

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. Data-Driven Approach For State Of Health Estimation Of Lithium-Ion Battery

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

* Role: Developer

* Main works:

Study on available methods such as Gaussian Fitting, Support Vector Regression, Multi-layer Perceptron v.v in predicting the State of Health

(SoH) of the Battery based on the NASA dataset.

Research on a new method to predict SoH of the Battery using Nested Sequence Models.

Compare traditional methods to a new method based on many evaluated 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:

- Time-series data prediction

- Traffic sign identification.

- Object detection using YOLO Family.

- Reccomendation system

* 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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