Machine Learning Data Science

INFORMATION

*************@*****.***

032*******

https://github.com/032*******

** ***** ***, ***** **** A, thành

phố Thủ Đức, thành phố Hồ Chí Minh

SKILL

LEADERSHIP

Have experience as a group leader of a

group of 5-10 members.

COMUNICATION

Adaptable in many environments quickly,

eager to learn and improve, sociable.

FLEXIBITY

Flexible to adapt to all situations, able to

work with pressure, in groups or

independently.

DATA BASIC SKILLS

Can use data tools such as SQL, excel or

Python. SQL and Python are studied at

the university.

CERTIFICATE

10/2023

Applied Data Science with R by IBM (AI

Build and train neural network

architectures such as CNN, RNN, LSTMs,

Transformers )

11/2021

Machine Learning by Deeplearning.AI

(basic R programming tasks to complete

the data analysis process, create

relational databases and query the data

using SQL and R and communicate their

HOÀNG NGỌC DŨNG

AI/MACHINE LEARNING ENGINEER

ORIENTATION

I am a senior student majoring in AI at FPT University. Currently, I can spend all my time working for the company enthusiastically. With the solid knowledge I gained from school and little experience after a period of time of internship, I believe I can contribute my best to the company's goals and hope to experience learning and personal development in your AI/Machine learning position. WORK EXPERIENCE

AI ENGINEER // 01/2024 - 04/2024

FPT Software Quy Nhơn (AI Valley)

• Learned how to work in a team and independently.

• Collecting, processing data, and training tissues to achieve high accuracy to apply to project objectives.

• Plan to implement tasks in time for deadlines.

PROJECT

AKA OCR - FLOOR PLAN TRANSFORMATION // 01/2024 - 04/2024 Member group

Strongtie is a project to determine the area of the floor plan with the calculation of the actual size based on the measurements and dimensions of the drawings set out on paper (PDF file) to determine the right amount of building materials to build the house. My role and achievements:

• Collect and process data about house drawings.

• Design the model to extract the exact area and size of the corresponding floors, automatically calculate the area for floor drawings that do not mention the given dimensions.

DATABASE SYSTEMS AT FPT UNIVERSITY // 09/2022 - 11/2022 Member group

With this project, I developed skills in database design and management, handling complex business requirements, and ensuring data integrity. My role:

• Database Design.

• Data Constraints: Implemented domain and referential constraints to ensure data integrity.

• Supporting data Insertion: Inserted sample data adhering to established constraints.

COMPUTER VISION AT FPT UNIVERSITY // 05/2023 - 07/2023 Member group

Mask recognition (Python, Tensorflow, OpenCV, Keras): Detect and recognize faces with or without masks. I achieved 8/10 for the final project of the subject. My role:

• Working/researching the core AL algorithm (tensorflow, openCV, Keras).

• Presenting in front of the lecturer.

DEEP LEARNING AT FPT UNIVERSITY // 08/2023 - 12/2023 data findings using data visualization

techniques)

03/2023

Big Data by University of California San

Diego: be able to process, analyze, and

interpret massive and complex data

using current big data technologies

(Apache Spark, Mongodb ). Having the

basic skills to model, manage and

process big data of various sources and

formats.

01/2023

Natural Language Processing by

Deeplearning.AI: be able to design

applications that perform

questionanswering and sentiment

analysis, create tools to translate

languages, summarize text, and build

chatbots

10/2022

Deeplearning Specialization by

Deeplearning.AI (AI Build and train

neural network architectures such as

CNN, RNN, LSTMs, Transformers )

08/2024

AI Development with TensorFlow:

Involves mastering concepts in machine

learning, deep learning, and how to

build, train, optimize, and deploy AI

models across various platforms.

08/2024

Data mining: introduces the key steps

involved in the data mining pipeline,

including data understanding, data

preprocessing, data warehousing, data

modeling, interpretation and evaluation,

and real-world applications.

Member group

Predicting emotions through comments (Bert, HTML, CSS, Javascript, Python): The website predicts customer emotions (positive-negative) and automatically returns thank you and apology pages based on the attitude text level. In addition, save customer comments on Google Sheets for statistics and evaluation. I achieved 7.7/10 for deep learning gpa. My role:

• Researching/ Discussing the core AI algorithm (LSTM )

• Presenting in front of lecturers.

AI DEVELOPMENT WITH TENSORFLOW // 05/2024 - 08/2024 Member group

Identify Vietnamese invoices by handwriting (Python, viet-ocr, TensorFlow): Detect and recognize handwriting on Vietnamese invoices. I achieved 8.1/10 for AI Development with TensorFlow. My role:

• Collect data and label images

• Train the model to accurately identify objects with previously labeled stickers EDUCATION

ARTIFICIAL INTELLIGENCE // 2024 - present

FPT UNIVERSITY

• GPA/Subject:

• Machine Learning -AIL303m (8.7/10):, Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

• Applied Data Science with R - DSR301m (8.2/10): Manipulating data, working with APIs, web scraping, using R Studio and JupyterLab, creating and managing databases, statistical analysis, predictive modeling, and presenting results via ggplot, leaflet and R Shiny, etc.

• AI Development with TensorFlow - DAT301m (8.1/10): learn how to build a basic neural network in TensorFlow and train a neural network for a computer vision application. Explore strategies to prevent overfitting, including augmentation and dropout, and learn transfer learning and how learned features can be extracted from models. Have the ability to build natural language processing systems using TensorFlow as well as the ability to apply RNNs, GRUs, and LSTMs as you train them using text repositories.

• Data mining - DBM302m (8.5/10): introduces the key steps involved in the data mining pipeline, including data understanding, data preprocessing, data warehousing, data modeling, interpretation and evaluation, and real-world applications.

• Natural Language Processing - NLP301c (6.5/10): learned both the classical machine learning skills and the state-of-the-art deep learning techniques needed to build NLP systems. Be able to design applications that perform question- answering and sentiment analysis, create tools to translate languages, summarize text, and build chatbots!

• Deep Learning - DPL302m (7.7/10): Understanding deep learning models, such as simple neural networks, CNN, RNN, etc.

• Latest overall GPA (present): 7.8/10

Contact this candidate