Data Science Ml Engineer

Nguyen Nhat Quang Email : *****************@*****.*** 2

AI/ML Engineer Intern Mobile : +84-898-***-*** 2

Personal Profile

I’m a final-year Data Science student at the University of Economics, Ho Chi Minh City, with skills in data analysis and data science. I’m detail-oriented, eager to learn, with strong problem-solving skills. I believe my skills will make me a valuable asset to any company using data for insights. I’m seeking a AI/ML engineer internship to further develop my skills and aim to become a proficient AI/ML engineer in the next 3 years. Education

• University of Economics. Ho Chi Minh City HCMC, VI Bachelor of Data Science; GPA: 3.70 (Academic Transcript 2) Aug. 2021 – Apr. 2025

• University of Economics. Ho Chi Minh City HCMC, VI Bachelor of Finance; GPA: 3.56 (Academic Transcript 2) Aug. 2023 – Jul. 2025

• AI VIET NAM HCMC, VI

All-In-One Dec.2022 – May. 2024

Skills Summary

• Programming languages: Python, SQL, C#

• Tools: PyTorch, Scikit-learn, Flask, FastAPI, Docker, Git, MLflow, Weights & Biases,

• Professional Skills: Explainable AI (XAI), AI Research, Predictive Modeling, Model Optimization, Data Visualiza- tion/Analysis/Mining, Statistical Analysis, Technical Writing, Presentation and Communication

• Languages: English (TOEIC 850)

Publications

• Nguyen Q. Viet, Nguyen N. Quang, Nguyen King, Dinh T. Huu, Nguyen D. Toan, and Dang N.H. Thanh. An Exploratory Comparison of LSTM and BiLSTM in Stock Price Prediction 2. In 7th International Conference on Inventive Communication and Computational Technologies (ICICCT - 2023).

• Nguyen Q.K. Ha, Nguyen T.T. Huyen, Mai T.M. Uyen, Nguyen Q. Viet, Nguyen N. Quang,Dang N.H. Thanh. Customer Intent Mining from Service Inquiries with Improved Deep Embedded Clustering 2. Journal of Uncertain Systems (JUS - 2024).

• Nguyen Q. Viet, Nguyen N. Quang, Nguyen King, Dang N.H. Thanh. Performance Insights of Attention-free Language Models in Sentiment Analysis: A Case Study for E-commerce Platforms in Vietnam. In 8th International Conference on Inventive Communication and Computational Technologies (ICICCT - 2024). Awards

• UEH Young Researcher: A prize (for top 5% best research works) and B prize (for top 15% best research works)

• UEH Excellent Student Scholarship: Awarded for exceptional academic achievement in the Spring semester of 2022 Projects

• Enhancing Customer Retention with Explainable AI github.com/ngnquanq/xai-thesis 2 Bachelor Thesis Sep. 2024 – Oct. 2024

Description: Leveraged the SHAP method to enhance model interpretability, uncovering critical insights into the telecom sector and identifying significant patterns driving customer churn predictions. Strengthened model reliability, highlighting influential features affecting churn and fostering trust in predictive outcomes.

Tools and Languages: Power BI, Python

• Amazon Reviews Sentiment Analysis github.com/ngnquanq/NLP Final 2 End of Course Project Nov. 2023 – Dec. 2023

Description: Executed advanced data preprocessing techniques and engineered a robust approach for identi- fying mislabeled data. Developed an innovative sentiment analysis model, achieving near-perfect accuracy along with 95% recall, precision, and F1 score, establishing it as the SOTA model for the dataset.

Tools and Languages: Python

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