Data Analyst Information Technology

TRUONG VAN QUOC

Data Analyst

PROFILE

091*******

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

Linh Trung, Thu Duc, Ho Chi Minh

GitHub: github.com/vanquoc26

SKILLS

Data Analysis & Visualization:

• Python (Pandas, Matplotlib), SQL,

Excel, Power BI.

• Data Cleaning, EDA, Data

Preprocessing, Data mining.

• SSIS, SSAS, SSRS (Data Warehouse

& BI)

• ETL Pipelines, OLAP, Data

Modeling, Scikit-learn, Deep

Learning, Machine Learning.

Soft Skills:

• Leadership (Project Team Lead),

Teamwork, Problem-solving

• Self-learning, Communication, Time

Management

HONORS & AWARDS

2023

• Vu A Dinh Scholarship

• Scholarship for Disadvantaged

Students from University

• Scholarship for Outstanding

Disadvantaged Students

2024

• Vu A Dinh Scholarship

2025

• Scholarship for Outstanding

Disadvantaged Students

OBJECTIVE

I am a final year Information Technology student, currently preparing for graduation, with a strong interest in Data Analyst. My goal is to start my career as a Data Analyst Fresher in a professional and data driven environment where I can apply my academic knowledge, enhance my practical skills, and gain real world experience. In the short term, I aim to contribute to data projects and business decisions, and in the long term, I aspire to become a skilled data analyst capable of delivering insights that drive strategic decisions.

EDUCATION

University of Information Technology (VNU-

HCM) 2021 - 2025

Major: Information Technology (Data Analyst)

GPA: 3.18 / 4.00

ACADEMIC PROJECTS

Real-Time Comment Classification & Entity Detection

03/2024 - 06/2024

Team size: 3 Role: Team Leader

Description

Developed a real-time system to detect and classify entities in social media comments (TikTok, YouTube) using Named Entity Recognition

(NER) combined with deep learning. The project applied big data tools

(Apache Spark, Kafka) and streaming technologies to ensure scalability and performance.

Key Contributions

• Collected and annotated data from TikTok and YouTube

• Trained NER and classification models

• Implemented real-time processing with Kafka & Spark

• Deployed system in a simulated live environment

Tech Stack: Python, Pandas, Kafka, Spark, Streamlit, ETL, Machine Learning, Deep Learning.

GitHub: https://github.com/vanquoc26/-REAL-TIME-COMMENT- CLASSIFICATION-AND-ENTITIES-DETECTION-

Movie Data Analysis with Data Warehouse 3/2024 - 5/2024 Team size: 2 Role: Leader

Description: Built a BI system to analyze movie trends using Data Warehouse concepts.

Key Contributions

• ETL data from TMDB, built star schema

• Developed SSIS pipelines, SSAS cubes

• Created reports using SSRS & MDX queries

Tech Stack: Python, SQL, SSIS, SSAS, SSRS, MDX, Data Warehouse, Data Visualization, Data Analysis, Data Mining.

GitHub: https://github.com/vanquoc26/Data-Warehouse CERTIFICATIONS

2025 VNU-EPT (English Proficiency Test): 186

2025 [Google] Foundations: Data, Data, Everywhere

2025 [Google] Process Data from Dirty to Clean

2025 [Coursera] Data Analysis with R Programming

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