Male
truongphutrieu**@ gmail.com
***/**, ****** ** ****, Kp.Đông Tân,
P.Dĩ An, Tp.Dĩ An, Bình Dương
CAREER OBJECTIVE
- I aspire to obtain an internship at the
company and become a full-time employee
through dedicated efforts and contributions.
- I hope to learn new things from the
experiences of senior colleagues and aim to
build a long-term commitment with the
company.
EDUCATIONS
Ho Chi Minh City University of Industry and Trade
Data sciences
Average score: 7,5
WORK EXPERIENCE
FSI TECHNOLOGY DEVELOPMENT AND TRADING
INVESTMENT JOINT STOCK COMPANY
3/2024 - 6/2024
Position: Data Entry Collaborator
Entered data from documents provided by customers. For example: marriage certi cates, diplomas, adoption applications, etc.
VINALEARN LINKS TRAINING COMPANY LIMITED
8/2024 - 4/2025
Position: Teaching Assistant
- Assisted in translating and supporting native teachers
- Managed students and maintained classroom order
- Substituted in teaching when native teachers were absent
SKILLS
Procient in Microsoft Word and Excel
Teamwork skills
Know Python programming with Pandas,
NumPy, Scikitlearn libraries to process and
analyze data.
Good working with SQL to query and manage
databases.
AI Applications Like ChatGPT, Gemini, Claude
for Work and Learning
CERTIFICATE
CS250: Python for Data Science
INTERESTS
- Enjoy exploring and learning new things
beyond my major
- Reading, swimming, and playing badminton
PROJECT PARTICIPATION
Decision Tree for Regression Arti cial Intelligence
- Build a regression decision tree model to predict continuous values
- Implement in Python with Scikit-learn, visualize the tree and forecast results
- Build an application with an input interface and display results
- Present how the model works, its advantages and
disadvantages, and practical applications
Weather Forecasting Data Analysis Programming
- Collect and analyze weather data, perform temperature forecast
- Apply linear regression models using Python (Pandas, Matplotlib)
- Visualize data and prediction results using charts Write reports using Jupyter Notebook and present the forecasting process
Building an Analytical Cube Data Warehouse
- Design a data analysis system based on sales
data
- Implement an OLAP Cube using SSAS: create
dimensions, measures, hierarchies
- Write MDX queries to answer analytical requirements
(revenue by region, products...)
- Work in a team, take on the SSAS implementation and present the results report
ADDITIONAL INFORMATION
Linkedin/trương-phú-triệu
Github.com/Trung3101