Post Job Free
Sign in

Machine Learning Data Science

Location:
Ho Chi Minh City, Vietnam
Posted:
May 27, 2025

Contact this candidate

Resume:

Vo Dat

AI Intern

*********@*****.*** 039******* github.com/Vodat1107

Objective

Highly motivated and eager student seeking an AI internship opportunity to gain practical experience and enhance my technical skills. I possess a foundational knowledge in machine learning, data analysis, and Python programming, and am committed to learning and contributing to impactful AI projects within a collaborative environment.

Education

University of Science - VNUHCM, Bachelor of Data Science 2022 – 2026 (Expected)

• GPA: 3.2/4.0

• Relevant Coursework: Introduction to Data Science, Python for Data Science, Probability, Statistical Learning, Machine Learning, Pattern Recognition

Projects

House Price Prediction Mar - 2024

• Scraped and consolidated raw property listings using web scraping techniques

• Thoroughly cleaned and preprocessed the dataset to ensure data quality and consistency

• Engineered features to enhance predictive power, then applied machine learning algorithms for model building

• Developed an end-to-end pipeline integrating data preparation, model training, and evaluation Project Link: github.com/Vodat1107/House-Price-Prediction Clustering US Colleges Mar - 2024

• Implemented the K-Means algorithm from scratch

• Employed data preprocessing techniques (feature scaling, encoding) and visualizations (scatter plots, elbow method) to evaluate cluster separability

• Performed clustering on a dataset to explore patterns in enrollment, financials, and faculty metrics

• Compared the custom K-Means implementation against Scikit-Learn’s KMeans for validation Project Link: github.com/Vodat1107/Clustering-US-Colleges Loan Application Approval Prediction Sep - 2025

• Built a predictive model to determine loan approval outcomes based on customer information

• Handled data collection, cleaning, and analysis to identify key factors influencing loan decisions

• Developed and compared multiple classification approaches for better accuracy

• Incorporated interpretability methods to clarify why certain loan applications are approved

• Implemented a script for streamlined deployment, providing real-time loan approval predictions Project Link: github.com/Vodat1107/-Loan-Application-Approval-Prediction Technologies

Languages: Python, C++, SQL

Tools & Frameworks: Scikit-Learn, TensorFlow, PyTorch, Pandas, NumPy, Seaborn



Contact this candidate