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Dong Customer

Location:
Go Vap, Ho Chi Minh City, Vietnam
Salary:
$1000
Posted:
October 26, 2022

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Resume:

THANH LE-VIET

+84-36-300-**** ***********@*****.*** lvthanh18apcs

COURSE GRADES

EDUCATION

• CS414 Machine Learning: 3.0/4.0

• CS420 Artificial Intelligence: 4.0/4.0

• CS418 Introduction to Natural Language Processing: 4.0/4.0

• STAT452 Applied Statistics for Engineers and Scientists II: 4.0/4.0

• HCM UNIVERSITY OF SCIENCE

(2018 – EXPECTED 2022)

4TH YEAR BACHELOR APCS IN

COMPUTER SCIENCE

GPA: 3.8/4.0

• NGUYEN THUONG HIEN

HIGHSCHOOL

(2015 – 2018)

WORK EXPERIENCE

• SOFTWARE ENGINEERING

DEPT. (APRIL 2021 –

NOVEMBER 2021)

• KATALON, INC. (NOVEMBER

2021 – MAY 2022)

SKILLS

• PROGRAMMING LANGUAGES:

C++, JAVA, PYTHON, MS SQL

• TOOLS: GITHUB, ANDROID

STUDIO, VISUAL CODE,

GOOGLE COLAB

• SOFT SKILLS: GOOD

COMMUNICATION, QUICK

LEARNING, ADAPTABILITY,

TEAM WORK, CRITICAL

THINKING, SELF-MOTIVATION

AWARDS

• GIAI CONG DONG – MIT APP

INVENTOR

OBJECTIVE

A full-time job.

Develop and broaden my horizon in Deep Learning

Enhance teamwork programming and communication skill PROJECTS

1. Hide and Seek

Simulating hide and seek games by mapping and creating seekers and hiders to compete each other

- Responsibilities: Implementing seekers’ efficient algorithm 2. Traffic Sign Recognition

Classifying over 50 distinct traffic signs.

- Responsibilities: Implementing and training model with accuracy of ~98%.

3. Face Expression Recognition

Using Google Colab to train a model that can recognize basic human expressions through a picture

- Responsibilities: Implementing and training the model 4. Customer Retention Classification

Classifying retained and lost customer through their transactions.

- Responsibilities: Implementing and training model with ~87% accuracy (~90% on true positive and ~74% on true negative). 5. Test case generation (Bachelor thesis)

Generate test cases automatically from manual test cases.

- Responsibilities: Propose and construct new model to represent application states based on manual test cases then generate new test cases and exercise the application during the process.



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