Data Analyst

NGUYỄN HUỲNH BẢO QUỐC

Phone: +84-854******

Email: **********@*****.***

Github: Github - James2109

LinkedIn: LinkedIn - Huynh Bao Quoc Nguyen

INTRODUCTION

Full Name: Nguyễn Huỳnh Bảo Quốc

Gender: Male

Birthday: 21/09/2002

Address: District 9, Thu Duc city

Education: 2020 – present: University of Information Technology – VNUHCM (UIT)

• Major: Software Engineering

• GPA: 8.1/10.0

• TOEIC: 700/990

• Expected Graduation Date: 10/2024

CAREER GOAL

As a last year student with a passion for data and technology, I want to improve my SQL, Power BI, Python skills and gain business experience, build relationships during my internship to become a good data analyst.

My short-term aim in 2 years is to become a data analyst as a fresher with a strong interest in data science. Furthermore, after 4 years of graduation, the goal is to reach the position of senior data analyst. I make every effort to expand my knowledge and skills in the field of data. SKILLS

Technical Skills: ETL Data, Data Modeling and Designing, Data Processing, Data Analysis, Data Visualization, Machine Learning.

Tools and Software: SQL, Power BI, Python, Excel.

Others:

• Microsoft Office: Word, PowerPoint, MS Project.

• Programming Language: Java, C++, C#.

• Good at math and probability statistics.

• Ability to research documents, write reports and design diagrams, dashboards. SOFT-SKILLS

Communication, Problem-solving, Time management, Teamwork, Negotiation, Logical thinking.

HONORS & AWARDS

Top 12 of Business Intelligence Competition - Organized by UEL Information Technology for Business Club

Top 30 of RMIT Business Analyst Champion - Organized by RMIT Vietnam Accounting Club CERTIFICATIONS

Google Data Analytics Professional Certificate - Organized by Google and Coursera Analyzing and Visualizing Data on Power BI – Organized by MCI consulting and analytics Python for Data Science – Organized by MCI consulting and analytics Math & Statistics for Data Science – Organized by MCI consulting and analytics RELEVANT PROJECT

Google Data Analytics Capstone – Bike-share Cyclistic Analytics (Individual)

• Process and clean sales data in the first quarter of 2023 by using Excel and Power BI.

• Analyze and visualize data by using Power BI to find insight and solution for business.

• Predict member and casual people base on bike rental period and location by using Logistic Regression model (Python).

• Writing analysis report.

Study project – Cho Tot Market Analysis (Leader)

• Clean and query data which imported from Excel by using SQL.

• Visualize data by using Power BI to find insight and solution for business.

• Analyze reCommerce market, forecast the trend and the future of Cho Tot by using Linear Regression model (Python).

• Write analysis report.

Study project – Titanic Data Analysis by using Python(Leader)

• Process null values, clean useless attributes and use Smote Oversampling technique to avoid bias data.

• Transform categorical data by using Pandas and get_dummies.

• Analyze data and predict survivors by using Logistic Regression model.

• Write analysis report.

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