Data Analysis

C O M P U T E R S C I E N C E E N G I N E E R I N G S T U D E N T

( +84-765****** *************@*****.*** g i t hub.com/Orcaa-o r - a k D A N G H O A N G A N H K H O I

O B J E C T I V E

Continuously pursue learning and skill enhancement. Take advantage technical knowledge and programming skill to overcome challenges and perform at work. Aim to enhance my potential to become a Data Analyst and contribute significantly to the company’s success. My goal is to become a professional Data Analyst after graduating next year. E D U C A T I O N

Major: Bachelor of Computer Science Engineering

Semesters average GPA: 3.3

Vietnamese-German University 2021 - present

C E R T I F I C A T E S

Google Data Analytics Professional course’s Certificate. HackerRank SQL Certificate (Basic and Advances).

FreeCodeCamp Relational Database course’s Certificate. FreeCodeCamp Data Analysis with Python course’s Certificate. LeetCode Intermediate SQL Problem Solver.

S K I L L S

Language: Vietnamese (Native), English (Fluent) with 6.5 IELTS Academic. Soft skills: Basic Data Analysis (SQL, Python, R), Visualize with data tools (Python), Programming (C++, Java, JavaScript), AI Prompting (ChatGPT, Copilot AI), Microsoft Office. Analyzing skills: ETL, data cleaning, data visualization, data warehouse. Hard skills: logical thinking, time management, flexibility with new programming languages or coding method, easy adaptation to new software, self-learning and researching skills. I N T R O D U C T I O N

I am a fourth-year Bachelor of Computer Science Engineering student at Vietnamese-German University. I have passion for coding, listening to music and reading books. I also enjoy exploring new experiences and working on projects. During my studies and interactions with data, I discovered that numbers and possibilities exist everywhere in our world, ready to be analyzed and predicted. This realization inspired me to delve deeper into the art of data analysis.

Major: Bachelor of Computer Science Engineering

Semester GPA: 3.1

Frankfurt University of Applied Sciences (Exchange Semester) 10/2023 - 03/2024 T O O L S A N D S O F T W A R E S

Analyze: Visual Studio, Visual Studio Code, R Studio. Visual and Report: Power BI, Microsoft Excel / Spreadsheet. Database management: SQL Server Management Studio 20, PostgreSQL. P R O J E C T S

Building a data warehouse with a star schema:

Designed a ETL process for organizing data.

Stored optimized data in the data warehouse.

Used Python for Customer Segmentation:

Performed a Segmentation Analysis using K-Means clustering and RFM model. Visualize the Segment by using chart, graph and dashboard from Power BI. Data processing and analyzing for Customer Segmentation 10/2024 - 12/2024

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