Information Technology Data Engineer

CONTACT

SKILLS

LANGUAGES

+098*******

nguyenthixuanthanh17102

003.com

** **** ***, **** **** Tri

Dong, District Binh Tan

Program Languages

Python

C#

C/C++

Java

HTML/CSS/JS

SQL Sever

Other

Google Cloud/ AWS/ Hadoop

PowerBi

N8N - AI Agent

English (Intermediate)

French (Basic)

XUAN THANH NGUYEN

DATA ENGINEER FRESHER

PROJECT

PROFILE

"Final-year Information Technology student with a strong foundation in databases, ETL pipelines, and data modeling. Experienced with SQL, Python, and cloud platforms like Google Cloud and AWS through academic projects. Eager to apply my technical skills in a professional data engineering environment and contribute to building scalable data infrastructure.."

Student Academic Performance Analysis 2022 - 2023

Description:

Built a data pipeline to analyze students' academic performance based on multiple indicators (grades, attendance, behavior, etc.). Responsibilities:

Collected and cleaned data from multiple sources (CSV, Excel) using Python and Pandas

Designed and implemented an ETL workflow to transform raw data into structured formats

Used SQL to query and aggregate performance metrics Visualized insights using Power BI for better decision-making in academic planning

Technologies: Python, Pandas, SQL, Power BI

Clothing Store Product Data Analysis & Visualization Description:

Developed a system to process, analyze, and visualize sales and inventory data from a fashion retail website.

Responsibilities:

Built data ingestion pipelines to collect product and transaction data from the website backend

Cleaned and normalized datasets for consistent schema Created a dashboard to track product performance, trends, and customer preferences

Enabled filterable visualizations by category, brand, and time period Technologies: SQL Server, Google Cloud, Power BI, ASP.NET Core 2023 - 2024

EDUCATION

Information technology - Computer science

HIU - Hong Bang International University

2021 - 2025

Cardiovascular Disease Data Cleaning & Analysis

Description:

Performed in-depth data cleaning and preprocessing for a health dataset related to cardiovascular disease prediction. Responsibilities:

Identified and handled missing, duplicate, and inconsistent data entries Applied data transformation techniques (scaling, encoding, normalization)

Conducted statistical analysis to understand feature correlation Prepared clean datasets for use in predictive modeling Technologies: Python, Pandas, NumPy, Matplotlib, Seaborn, Google Colab 2024 - 2025

Stock Market Analysis and Evaluation

Description:

Conducted a data-driven analysis of stock market trends to evaluate the performance and volatility of selected companies over time. Responsibilities:

Collected historical stock data using APIs and public datasets (e.g., Yahoo Finance, Kaggle)

Processed and cleaned data to remove anomalies and prepare for analysis

Calculated financial indicators such as moving averages, volatility, and ROI

Visualized stock trends and risk levels using interactive dashboards Summarized insights to support investment strategy recommendations Technologies: Python, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Google Colab

2023 - 2024

Contact this candidate