Data Engineer

Bui Dinh Quan

LinkedIn: linkedin.com/in/buidinhquan Email: ***************@*****.***

Github: github.com/buidinhquan13 Mobile: +84-932-***-*** SUMMARY

I recently graduated with a degree in Computer Science from the University of Information Technology. Throughout my academic journey and research in Computer Science, I have gained substantial knowledge and hands-on experience in these fields.

I am seeking job opportunities related to AI Engineer, Data Engineer and its related fields. SKILL

• Programming Languages: Python, C++, SQL.

• Tools/Framework: Latex, Github, openCV, Microsoft Office, Power BI.

• AI/ Machine Learning: Pytorch, Tensorflow, Scikit-learn, Pandas, Colab. EDUCATION

• Bachelor of Computer Science Sep. 2021 - Jan. 2025 University of Information Technology (UIT) HoChiMinh city, VietNam

• GPA: 8.83/10.00 (3.62 /4.00)

ACHIVEMENTS

• 1st, 5th and 6th Semester Academic Excellence Encouragement Scholarship. PROJECTS

• IMAGE CLASSIFICATION FOR TOURIST DESTINATIONS IN VIETNAM

– Used Selenium to scrape images of famous tourist destinations in Vietnam from Google Images.

– Applied Softmax Regression and Support Vector Machine (SVM) for classification.

– Implemented Transfer Learning using MobileNet and VGG16.

– The model was deployed using Streamlit for a user-friendly interface.

• CAR PRICE PREDICTION

– Collected data from car sales websites.

– Processed and cleaned the data to ensure quality.

– Applied Linear Regression, XGBoost, and other algorithms to predict car prices.

– The model was deployed using Streamlit for a user-friendly interface.

• COMPOSED IMAGE RETRIEVAL (CIR)

– Queries consist of an image and a textual modification request.

– Uses CLIP to extract features from both the image and text.

– Retrieves the most relevant image matching the requested modification. CERTIFICATIONS

• TOEIC Reading & Listening: 675/990 May 2024

• TOEIC Speaking & Writing: 270/400 November 2024

• ”Applications of AI for Anomaly Detection”

• ”Problem Solving Using Computational Thinking”

• ”Google Data Analytics ”

• ”Google Advanced Data Analytics ”

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