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linkedin.com/in/phát-nguyễn-minh-a41404203 github.com/phatnguyen1604 Nguyễn Minh Phát

OUTSTANDING PROJECT

EDUCATION

Ho Chi Minh City University of Technology Ho Chi Minh City, Viet Nam

GPA: 3.2/4.

Courses: Data Mining, Data Warehouses and Decision Support Systems, Big Data Analytics and Business Intelligence, Database Systems, Data Structures & Algorithms, Web Programming, Operating System, Software Engineering, Computer Networks Bachelor of Science in Computer Engineering Expected, November 2024

TECHNICAL SKILLS

Data Analysis: Python (NumPy, Pandas, Seaborn), R, Machine learning (Scikit-Learn, Regression, Decision Trees, Logistic Regression), Deep learning (TensorFlow, Keras) Data warehousing: Pentaho

Data visualization: Power BI

Database Management Systems: MySQL, PostgreSQL

Front-end Web Development: React, HTML, CSS

IoT device development: OhSTEM, Adafruit, MQTT

Foreign Language: English (IELTS 6.5, TOEIC 850), Japanese (N4) Debt Prediction (Personal project)

Description: Given historical data on loans given out with information on whether or not the borrower defaulted (charge-off), I will build a model that can predict wether or nor a borrower will pay back their loan. This way in the future when the organization get a new potential customer they can assess whether or not they are likely to pay back the loan. Technology: Pandas, Seaborn, Keras

1.

Description: analyzing IoT data in agriculture about temperature and humidity sensor by statistical analysis techniques.

Technology: R

Responsibilities: Calculate statistical parameters such as deviation, error, and median. Draw box-plot charts, column charts to model data to investigate the correlation of two variables. Draw conclusions and insights to provide valuable information.

2. IOT analyzing in Agriculture (3 members)

In this project I will be working with a fake advertising data set, indicating whether or not a particular internet user clicked on an Advertisement on a company website. First I draw some joint plot and pair plot to see the correlation of variables. Then I will try to create a model that will predict whether or not they will click on an ad based off the features of that user.Analyzed customer data to identify key patterns and trends, and developed recommendations for marketing and customer engagement. Technology: Logistic Regression, Seaborn, Pandas

3. Advertising Prediction (Personal Project)

Track KPIs (sales, revenue, profit, returns), compare regional performance, analyze product-level trends and forecasts, and identify high-value customers.

Technology: Power BI

4. Bike Store (Personal Project)

ONLINE CERTIFICATE

Python for Data Science and Machine Learning Bootcamp, Udemy Data Warehouse - The Ultimate Guide, Udemy

Microsoft Power BI Desktop for Business Intelligence, Udemy The Complete SQL Bootcamp: Go from Zero to Hero, Udemy The Complete 2023 Web Development Bootcamp, Udemy

ACTIVITIES

Secretary of the Youth Union, President of the Student Union of the Faculty Union Japanese Club FUJI BKHCM: Program Coordinator

BÁCH KHOA Admissions CLUB: Program Coordinator

Description: The project requires students to create an app to manage employees and vehicles for the purpose of collecting and disposing of urban waste within the city. Link: github.com/trivankute/ UrbanWasteCollection

Expected Technologies:

Responsibilities:

6. UWC ( 7 members)

+ DE Front-end: Figma, React, Redux, Typescript, Mapbox, Tailwind, Flowbite and Framer-motion

+ DDE Back-end: Express, Typescript, Prisma, MongoDb

+ Draw use-case diagram, an activity diagram to capture the business process between systems and the stakeholders, and component diagram.

+ Developing the front-end of applications.

Description: This is an app that my team developed for our Multidisciplinary Project class. The app provides an smart home service, using Machine Learning, Information Systems, and Design Patterns, with the help of IoT devices.

Expected Technologies:

Responsibilities: building Adafruit server and using Ohstem to receive data form multiple IOTs sensors. 7. Smart house (4 members)

+ DE Front-end: Figma, React, Redux, Typescript, Socket.io Tailwind, Flowbite and Framer-motion

+ DDE Back-end: Java, Spring, MySqlE

Integrated data from multiple sources using FuzzyWuzzy to match beer names, and create a unified dataset of beer ratings and reviews.

Developed a machine learning model using Scikit-Learn, LinearRegression, Keras to predict a beer's overall score based on its characteristics such as aroma, appearance, and flavor. Technologies: FuzzyWuzzy, Scikit-Learn, LinearRegression, Keras. 8. Beer Project (Personal Project)

Description: This is the capstone project for web programming course. Our web app is based on hangdiathoidai.com and is used to sell albums uploaded by artists or administrators, with all the features of a full-fledged retail website. Link: github.com/trivankute/CuaHangThoiDai. Technologies:

Responsibilities:

5. Cuahangthoidai (4 members)

+ Front-end : React, Redux, TypeScript, Bootstrap

+ Back-end : PHP, phpMyAdmin, MySQL

+ Design the database (Draw ERD diagram, Mapping)

+ Design the Front-end (HTML, CSS, React)

+ Write functions, stored procedures (to enable the back-end of an application to efficiently retrieve, insert, and delete data), trigger (to keep track of change to keep track of changes to the database and ensure data integrity).

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