Machine Learning Computer Science

NGUYEN VAN

KIET

CONTACT INFORMATION

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032*******

SKILLS

LANGUAGES

English

OBJECTIVE

I am eager to apply my skills and knowledge in a hands-on environment. My academic background in Computer Science has equipped me with a strong understanding of machine learning algorithms and data analysis. Proficient in programming languages such as Python and tools like TensorFlow, PyTorch, and scikit-learn, I have experience working with large datasets, preprocessing data, and deploying machine learning models. I am particularly interested in computer vision, deep learning, and related fields. PROJECTS

PISTACHIO TYPES DETECTION

https://colab.research.google.com/drive/17jSVFi4gukgcFIRtgXlfU36YgpIJSX79? usp=sharing.

This side-project is model that detection types of pistachio: HOME CREDIT - CREDIT RISK MODEL STABILITY

https://www.kaggle.com/code/kitnguynvn/feature-selection. The goal of this competition is to predict which clients are more likely to default on their loans. The evaluation will favor solutions that are stable over time. Your participation may offer consumer finance providers a more reliable and longer-lasting way to assess a potential client's default risk. EDUCATION

COMPUTER SCIENCE

University of Information Techonology. 2021 - Present C++

Python

Problem Solving

Machine Learning

· EDA and preprocessing data

Compare 4 models (Logistic Regresison, Decision Tree, SVM, MLP) to choose the best model to use

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Contact this candidate