NGUYEN QUOC PHUC

NGUYEN

Machine Learning Engineer

February 22, 1997

Male

093*******

adrp5f@r.postjobfree.com

Ho Chi Minh, Vietnam

www.linkedin.com/in/quoc-phuc-

nguyen-nguyen-bb95bb160

OBJECTIVE

As a fresher holding a Bachelor of

Engineering (majoring in Biomedical

Engineering) at the University of

Technology Sydney, I am highly

interested in getting myself involved in

Machine Learning and Artificial

Intelligence projects as I have done

several ones during my undergraduate

journey. Achieving the High Distinction

and Distinction average for Diploma of

Engineering and up-to-date Bachelor

Course, demonstrates that I am a hard-

working individual having a good

English communication skills, a high

ability to work and collaborate well in a

team, and a desire of learning new

things and wanting to contribute

enthusiasm, dedication, responsibility

and good ethic in workplace. As

currently being a fresh graduate

staying in Vietnam, I hope I could have

a chance to get in the AI field to

contribute my dedication and effort to

improve human's quality of life and

especially healthcare system by

integrating with AI.

UNIVERSITY OF TECHNOLOGY SYDNEY JULY 2017 - SEP 2021 UNIVERSITY OF TECHNOLOGY SYDNEY, INSEARCH JULY 2016 - JULY 2017 TEACHING ASSISTANT BRITISH COUNCIL VIETNAM JULY 2021 - JUNE 2022 PRODUCT ENGINEER PERFORMACAST – UTS STARTUP NOV 2019 - JULY 2020 ENGLISH TUTOR NOV 2014 - JAN 2016

EEG-BASED IMAGINATION MOVEMENT RECOGNITION SYSTEM JAN 2021 - JULY 2021

EDUCATION

Major: Biomedical Engineering (Honours)

GPA: 6.12/ 7.00

Major: Diploma of Engineering (Standard)

GPA: 3.9/ 4.0

WORK EXPERIENCE

Part-time English Teaching Assistant

• Taking care of students in class.

• Interpreting the lessons in class delivered by the foreign teachers to students

• Review class materials with students by discussing text, working solutions to problems, or reviewing worksheets or other assignments.

•Provide feedback to students using positive reinforcement techniques to encourage, motivate, or build confidence in students.

•Prepare weekly report or reminders for students after every class

•Manage and sort student data based on different tasks needed by using Excel Microsoft Biomedical Engineer Internship

• Accumulated technical skills: SOLIDWORKS, MESH-MIXER, MATERIALISE and MATLAB

• Practicing troubleshooting skills when some problems occurs on the design

• Good communication and collaboration among a team to achieve fortnight goals

• Able to access and practice using 3D printing machine

• Testing the durability and materials for every trial model

• Validate the final model for presentation based on collected data

• Delivering speech every fortnight in meetings with supervisors and also final speech on introducing our prototype at the end of internship. Part-time Tutor

• Taking care of students.

• Organize tutoring environment to promote productivity and learning.

• Review class material with students by discussing text, working solutions to problems, or reviewing worksheets or other assignments.

•Provide feedback to students using positive reinforcement techniques to encourage, motivate, or build confidence in students.

•Prepare lesson plans or learning modules for tutoring sessions according to students' needs and goals.

UNDERGRADUATE PROJECT EXPERIENCE

Biomedical and Assistive Devices Studio

• Collect EEG raw data based on several chosen mental tasks

• Conduct the signal pre-processing to filter unwanted noises, null and outliers by using MATLAB and Python

• Extract features by using Wavelet or Fast Fourier Transform and some Statistical Features

• Build and test an optimal Feedforward Neural Network to feed features in then analyze the results including accuracy, ROC learning curve and confusion matrix SKILLS

Work Independently

Teamwork

Logical thinking and creative

Public Speaking

Python Skill

INTERESTS

Reading books

Music, especially ballads

Exploring new things

FOOD SAFETY INSPECTION BY USING E-NOSE SYSTEM JAN 2020 - JAN 2021 3D PRINTED CUSTOMIZED CAST FOR BONE FRACTURE OCT 2019 - FEB 2020 EEG EMOTION CLASSIFICATION MAR 2019 - JULY 2019

Diploma of Engineering (Standard) 2017

Certificate of Medical Instrumentation: From Principles to Applications, plus Safety, Regulations and Hands-on practice (FV Hospital)

2021

Bachelor of Engineering (Honours) in Biomedical Engineering 2021 International English Language Testing System (IELTS 7.0 Overall) 2021 Fundamentals of Python Certificate (48 hours) - Score 9.0 2022 Python for Machine Learning, Data Science and Data Visualization Certificate (48 hours) - Score 7.5

2022

Achievement: Winner of the UTS: INSEARCH Dean’s Merit Experience

(for the highest GPA Student)

2016-2017

Achievement: Bachelor of Engineering (Honours) in Biomedical Engineering with First Class Honours

2020-2021

Capstone Student

• Using Analog filters to design a simple circuit based on E-nose's principal then do a trial test on different alcoholic odors

• Collect raw data on the freshness level of a Snapper sample fish in the duration of 24 days by using a completed modern E-nose in UTS Lab

• Extract statistical features and some additional features from the response curves of gas sensor signals

• Conduct the unsupervised learning to observe the fish freshness levels and the classification

• Analyzing data and results after classification to assess the efficiency of E-nose system. Biomedical Engineer

• Using 3D printing technology to create the final prototype

• Gained technical skills: SOLIDWORKS, MESHMIXER, MATERIALIZE, MATLAB

• Testing the durability and materials for every trial model

• Validate the final model for presentation based on collected data Biomedical Signal Processing Student

• Explore provided data from A Database for Emotion Analysis (DEAP) using Physiological and Audio-visual signals

• Use MATLAB to conduct the signal pre-processing segment to filter out unwanted noise

• Practice extracting and grouping chosen Statistical Features

• Conduct the classification process by using different Machine Learning approaches: Support Vector Machine, K-Nearest Neighbor and Decision Tree

• Observe the training and testing results based on the confusion matrix, ROC Curve and accuracy to finalize the best and optimal approach

CERTIFICATIONS

HONORS & AWARDS

SKILLS AND ABILITIES

Steven Su, PhD

Associate Professor School of Biomedical

Engineering

Faculty of Engineering and IT University of

Technology, Sydney (UTS)

Phone: +61 (0)2 9514 7603 M: +61 (0)413

460 786

Email: adrp5f@r.postjobfree.com

Steve Ling PhD, SMIEEE

Director, UG Biomedical Engineering

ProgramSenior Lecturer

Discipline of Signal Processing and

AnalyticsSchool of Electrical and Data

Engineering

Faculty of Engineering and IT University of

Technology, Sydney (UTS)

Phone: +61-02-951*-****

Email: adrp5f@r.postjobfree.com

Organizational and time management skills

• Good managing skills honed through working experience as a waiter: setting up tables for customers and also cleaning tables after they finish.

• In addition to studies, these skills are practiced by making schedules for extra study and preparation for examinations, noting deadline times for all subjects in dairy and ensuring that all those are submitted on time.

• Responsible for stock rotation and daily reports to manager about stock ordering. Communication

• Good level written and verbal communication skills practiced through 2-year work experience as a waiter and through Academic English studies at UTS: INSEARCH.

• Academic English Certificate at UTS: INSEARCH: equal to IELTS Band 6.0

• International English Language Testing System (IELTS) 7.0 Overall Teamwork

• Collaboration with co-workers is one of the most important skills to work well in a busy restaurant, for example, teamwork is developed properly by exchanging ideas, expressing opinions and discussing methods to help other co-workers improve their skills and keep our work place tidy and always in order.

Python

• Understand and hand-on practice of fundamentals of Python including modules, functions, loops and conditions

• Have strong knowledge and experience on Numpy, Pandas, Matplotlib and Seaborn libraries

• Have hand-on practice on supervised and unsupervised machine learning methods

• Fundamental of Neural Network concept

REFERENCES

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