Data Analyst Science

**/**/****

Male

094*******

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

Contact this candidate