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Minh Sang TrầnMT
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Minh Sang Trần

@sangtran

Data science grad at WorldQuant University building Deep Learning models with real-world datasets, Such as CIFAR-10 Image classification.

Japan
Message

At WorldQuant University, I'm advancing from applied Machine Learning into Deep Learning through project-based work with real-world datasets. I’ve developed models for regression, multi-class and image classification, and time-series analysis, including a project predicting corporate bankruptcies in Poland and Taiwan using financial data.

At Eikei University of Hiroshima, I supported students across data science and technology courses, analyzed educational data, and created visualizations to support course improvement discussions. I also coordinated a university hydroponics research project, from experimental design through evaluation and presentation, and received recognition from Hiroshima Satake Corporation.

I like self-studying and designing my own skills. My projects have also included contributing to a digital transformation and regional well-being project with Eclect, Inc., and producing a short educational film about endangered species protection.

Experience

Work history, roles, and key accomplishments

EH

University Project Researcher

Eikei University of Hiroshima

Mar 2025 - Feb 2026 (11 months)

Conducted a multi-phase balcony hydroponic experiment to evaluate cultivation feasibility, plant health, productivity, and operating cost. Managed a ¥30,000 research budget and coordinated the project from design through implementation and presentation.

VN

University Volunteer

Viet Endangered Narratives

Dec 2025 - Dec 2025 (0 months)

Researched biodiversity and endangered-species protection in Da Nang in collaboration with an environmental conservation project. Synthesized research into an educational documentary focused on species protection and recovery.

Education

Degrees, certifications, and relevant coursework

WorldQuant University logoWU

WorldQuant University

Deep Learning fundamentals Lab, Deep Learning

2026 - 2026

Activities and societies: Lab Projects: Yeast Proteins classification with MLPs, CIFAR-10 image recognition with AlexNet CNNs, etc.

Studied the mathematical and practical foundations of deep learning, including neural network architectures, forward propagation, activation functions, loss functions, gradient descent, backpropagation, optimization, regularization, and model performance evaluation.

WorldQuant University logoWU

WorldQuant University

Data Science Lab, Data Science

2026 - 2026

Activities and societies: Developed regression, classification, time-series analysis, unsupervised learning models and ensemble methods. Highlighted project: Predict Poland and Taiwan corporate bankruptcies using financial data, building Random Forest/(hist-XGB) Gradient Boosting and countermeasures for imbalanced data.

Practiced an end-to-end data science workflow using 8 projects with real-world datasets, including data preparation, exploratory data analysis, visualization, statistical analysis, and feature engineering.

Eikei University of Hiroshima logoEH

Eikei University of Hiroshima

BScA, Data Science and Liberal Arts

Grade: 3.3

Activities and societies: Relevant focus areas: Data Science, Design Thinking, Social & Human development and Sustainability.

BScA in Data Science and Liberal Arts from Eikei University of Hiroshima, with a GPA of 3.3.

ES

ECC Global Language School

Certificate of Japanese and English Linguistic Program, Japanese and English

Certificate of Japanese and English Linguistic Program from ECC Global Language School.

Tech stack

Software and tools used professionally

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