PROFILE

ad4a3g@r.postjobfree.com

091*******

TP. HCM

SKILLS

PROGRAMMING:

Python, Julia, C/C++

DATABASE:

SQL, NoSQL

DATABASE MANAGEMENT:

MySQL, PostgreSQL, MongoDB

MACHINE LEARNING:

Scikit-learn, Keras, TensorFlow

BIG DATA:

Hadoop, Spark

DASHBOARD AND VISUALIZATION:

Matplotlib, Seaborn, Plotly, Power BI

SOFTWARE ENGINEERING:

Flask, HTML, CSS

CERTIFICATIONS

T10/2023

IBM Data Science

NGUYỄN ĐÌNH HOÀNG NGUYÊN

DATA SCIENTIST

OBJECTIVE

Carrer Goal: Becoming a procient data scientist, applying analytics to solve complex problems, and driving data-driven innovation for meaningful insights. EDUCATION

UNIVERSITY OF SCIENCE, VNU-HCM // 2019 - 2023

Major: Infomation Technology

GPA: 3.42/4.0

PROJECTS

PREDICTING MOVIE REVENUE // T02/2023 - T5/2023

This is a final project for graduation course: Applied Data Science Your position in project: Data Scientist.

Responsibility: Exploratory Data Analysis, Data Visualization, Data Modeling. Link github: https://github.com/HoangNguyen31/Final-Project-Applied-Data-Science Technology description: Using Python libraries:

• Numpy, Pandas, Matplotlib, Seaborn for Exploratory Data Analysis, Data Visualization.

• Scikit-learn, Xgboost, Lightgbm, CatBoost for Data Modeling.

PREDICTING APARTMENT RENTAL PRICES // T05/2023 - T07/2023 This is a final project for graduation course: Intelligent Data Analysis Your position in project: Data Scientist.

Responsibility:

Data Collecting, Data preprocessing, Exploratory Data Analysis, Hypothesis Testing, Data Modeling. Link github: https://github.com/HoangNguyen31/Project_Applications-of-Intelligent-Data-Analysis Technology description: Using Python libraries:

• Requests for Data Collecting.

• Numpy, Pandas, Matplotlib, Seaborn, Scipy for Data preprocessing, Exploratory Data Analysis and Hypothesis Testing.

• Scikit-learn for Data Modeling.

MOVIE RECOMMENDER SYSTEMS // T09/2023 - T11/2023 This is a final project for course: Programming for Data Science Your position in project: Data Scientist.

Responsibility: Exploratory Data Analysis, Data Visualization, Recommender System Building. Link github: https://github.com/HoangNguyen31/Movie-Recommender-System Technology description: Using Python libraries:

• Numpy, Pandas, Matplotlib, Seaborn for Exploratory Data Analysis, Data Visualization.

• Numpy, Scikit-learn for Recommender System Building.

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