Data Engineer Intern - Aspiring Python & ML Specialist

Nguyen Trong Hung

Data Engineer Intern

***********@*****.*** 037******* Bac Tu Liem, Ha Noi

SUMMARY

I am a highly motivated individual aspiring to grow as a Data Engineer Intern at your company, with a solid foundation in Python and data processing. I have experience building data pipeline systems and projects related to AI/ML. With my skills and project experience, I believe I am well-suited for this position and eager to contribute practical value to the company. SKILLS

Python

Numpy, pandas, scikit-learn, pytorch

Docker

Docker compose, DockerFile

Database

MySQL, PostgreSQL

Version Control

Git, Github, SVN

EDUCATION

Hanoi University of Industry

Bachelor

•CPA 3.32/4.00

09/2021 – 06/2025

Bac Tu Liem, Hanoi

•Member of IT Supporter Team: Assisted with software installation, hardware maintenance, and advising students on laptop selection.

•Received Consolation Prize in University-level Scientific Research 2022– 2023.

•Received Consolation Prize in University-level Scientific Research 2023– 2024.

PROFESSIONAL EXPERIENCE

Luvina Software

Data Engineer Intern

•Developed data pipelines using Data Spider Servista and delivered to clients. 03/2025 – 10/2025

Cau Giay, Ha Noi

•Conducted testing of data pipelines following provided guidelines to ensure data accuracy and quality.

•Collaborated with team members using Git and SVN for version control and project coordination.

•Assisted in troubleshooting pipeline issues and optimized workflows for efficiency.

PROJECTS

Hanoi Weather Analyst

Real-time weather and air quality in Hanoi with complete ETL pipeline.

•Techology: Python, Apache Airflow, PostgreSQL, Docker.

•Built production ETL pipeline processing real-time data from OpenWeather and AQI APIs.

•Designed data warehouse with 6 dimension tables, 3 fact tables, and hourly scheduling for data analyst.

•Using docker compose to package the project.

•Link project: https://bit.ly/4iu3VlD

Waste Classification

Waste prediction by webcam or image upload.

•Technology: Python, Flask, Pytorch, OpenCV, CUDA

•Built ResNet50 waste classification model for 12 categories achieving ~90% accuracy on 15,515 images.

•Developed web application with image upload and real-time camera detection features.

•Implemented complete ML pipeline including data preprocessing, model training, and evaluation tools.

•Link project: https://bit.ly/4pIWV6Q

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