Machine Learning Data Science

CHIEM BINH NGUYEN

Profile Summary

A dedicated Data Science student

with a strong background in

computer science, specializing in

data analytics, machine learning,

and big data technologies.

Proficient in key programming

languages such as Python, C/C++,

SQL, and adept at using data

visualization tools like Tableau

and Power BI. Demonstrated

ability to apply advanced

techniques in predictive

modeling, analyze large datasets,

and deliver actionable insights to

drive informed decision-making.

Passionate about leveraging

data-driven solutions to solve

complex problems and

continuously enhance technical

skills.

Contact details

R ******@*****.***

Ó +84-812******

github.com/DSGrid23

linkedin.com/in/ngnchm2003

Skills

• Proficient: C/C++, Python, SQL,

Spark, Jupyter Notebook,

Tableau, Microsoft Power BI,

Microsoft Excel, MS Word, MS

PowerPoint

• Strong knowledge of Data

Structures and Algorithms,

Big Data, Data analytic,

Database, Data Warehouse

• Knowledgeable in: Streamlit,

Java Script, HTML/CSS, MS

Azure, Machine Learning

• TOEIC: Listening-Reading: 660

Education

VNUHCM - University of Science 2021 - Expected Graduation October, 2025

Bachelor in Computer Science, Specialization in Data Science, Faculty of Information Technology - GPA: 3.6/4.0

Relevant Courses: Data Structures & Algorithm, Database, Program- ming for Data Science, Introduction to Big Data, Advanced Data Ana- lytics, Data Visualization

Certifications

Google Data Analytics, Coursera.

Project

House Prices Predict - Individual Project May 2024 Kaggle Competition

• Description: Utilized advanced regression techniques to predict residential home prices in Ames, Iowa. Employed extensive feature engineering and optimized machine learning models, such as random forests and gradient boosting, to analyze 79 variables related to home features and achieved top 15 global ranking.

• Technologies: Python, Scikit-Learn.

• GitHub: Click to review.

Analyzing 1.1 Billion NYC Taxi and Uber Trips - Group Project April 2024 Introduction to Big Data Course

• Description: Worked with a dataset released by the New York City Taxi & Limousine Commission that captures over one billion individual taxi trips over the past several years.

• Technologies: Python, SparkStreaming.

• Role: Implemented Spark streaming to read continuously updated data. Wrote queries to aggregate information from the dataset. Stored logs during the data reading process.

• GitHub: Click to review

Analysis of Job Demand in Vietnam - Group Project April 2024 Data visualiztion

• Description: Conducted a comprehensive analysis of job demand trends across various industries in Vietnam. Utilized statistical tools and data visualization techniques to identify growth sectors and forecast future employment opportunities. The study aimed to inform policy makers and business leaders on workforce planning and development strategies.

• Technologies: Python, Streamlit, Scikit-learn.

• Role: Developed the job search page tailored to user-specific demands, enhancing the platform’s usability and precision. Cre- ated a comprehensive job overview page, providing users with aggregated data on job trends, statistics, and relevant insights.

• Product: Click to review

• GitHub: Click to review

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