Data Engineering Intern Candidate (Python, SQL)

TRAN TAN HIEP

Thu Duc Ward, Ho Chi Minh City

+84-824****** **************@*****.***

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EDUCATION

University of Science – VNUHCM Expected 2027 Ho Chi Minh City, Vietnam Bachelor of Mathematics & Computer Science

• Relevant Coursework: Data Structures & Algorithms, Machine Learning, Data Mining, Natural Language Processing, Computer Vision, Deep Learning, Calculus. WORK & EXPERIENCE

Part-time Assistant — Cỏ Xanh Printing Company Oct 2025 – Dec 2025

• Assisted with printing operations, including material preparation, cutting and trimming, packaging, and quality checks of finished products.

• Packed and prepared orders for delivery, ensuring accurate quantities and on-time turnaround.

• Coordinated with technical staff to process small print orders and meet deadlines. PROJECTS

Vietnamese Sentiment Classification (Naïve Bayes + Sentiment Lexicon) Nov 2025

• Built a Vietnamese sentiment classification pipeline combining traditional Naïve Bayes with a self-built Viet- namese Sentiment Lexicon (VSL), scored via TF-IDF mean and Naïve Bayes log-odds weighting.

• Proposed VSL-NB and Hybrid NB (BoW+VSL, TF-IDF+VSL) models to reduce dependency on large labeled datasets compared to traditional Naïve Bayes.

• Achieved 86.0% accuracy with Traditional NB and 83.6% accuracy with Hybrid NB (BoW+VSL) on a 200,000- sample dataset (Kaggle: linhlpv, phuocthanhngo).

• Tech: Python, scikit-learn (MultinomialNB, TfidfVectorizer, CountVectorizer), pandas, NumPy. Weather Prediction System (Random Forest) Dec 2025

• Built a regression model to forecast temperature trends using historical meteorological data.

• Automated data collection via OpenWeatherMap API and implemented feature engineering/normalization.

• Tech: Python, Scikit-learn, Pandas, Matplotlib.

License Plate Detection and Character Segmentation Jan 2026

• Implemented an image processing pipeline for automatic plate localization and character isolation.

• Utilized Sobel operators for edge detection and morphological transformations for noise reduction.

• Tech: Python, OpenCV, NumPy, Matplotlib.

SKILLS, INTERESTS

Mathematical : Calculus, Differential Equations, Linear Algebra, Probability & Statistics. AI & Data Science: Data Mining, Natural Language Processing, Machine Learning, Computer Vision, Data Modeling, Model Assessment, Image Processing, Data Analysis & Visualization, Regularization. Programming: Python (NumPy, Pandas, Scikit-learn, PyTorch), C/C++, SQL, R. Developer Tools & Technologies: Git, Docker, LaTeX, OpenCV, MATLAB, Prolog, Maple. Soft skills: Reading and Understanding Documentation, Problem-Solving, Team Collaboration. Hobbies: Gaming, Gym, Reading, Music

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