Data Analyst Business Solutions

H U Y N H K I M T U Y E N

B U S I N E S S I N T E L L I G E N C E / D A T A A N A L Y S T I N T E R N Data mining and visualization:

SQL - Intermediate

Power BI -Intermediate

Excel

Orange, SPSS - Intermediate

Major: Management Information

System - MIS (in progress)

GPA: 3.69/4.0

M Y C O N T A C T

W O R K E X P E R I E N C E

P R O F E S S I O N A L S K I L L S

E D U C A T I O N

University of Economics

Ho Chi Minh City

2021 - 2025

Online Assistant/ Data Collector Part-time

TK Ventures

Key responsibilities:

Assisted in collecting, entering, and analyzing data from a variety of sources;

Developed and maintained the internal Portal, ensuring the accuracy and timeliness of information;

Supported the Marketing department in analyzing campaign data. Key accomplishments: Streamlined data collection and entry processes, making engineers satisfied by providing high-precision information in limited time

7/2023 - 4/2024

Marketing Data Analyst Part-time

Buzzmetrics - Younet

Key responsibilities:

Collected, analyzed, and interpreted marketing data to identify trends and opportunities;

Developed and implemented data-driven marketing strategies to achieve business goals;

Tracked and measured the performance of marketing campaigns and made adjustments as needed;

Provided insights and recommendations to senior management based on data analysis.

Key accomplishments: Efficiently analyzed over 10,000 data points within a tight deadline, support delivered timely trend identification. 10/2023 - 1/2024

P R O J E C T S

1. Explore Ecommerce Dataset (SQL in Big Query)

Data in Ecommerce are huge. I has used SQL in Big Query to collect, organize and connect data from seperate worksheets to calculate percisely information for different reports.

Github: https://github.com/ktuenn/portfolio.git

086*-***-***

*********@*****.***

District 10, Ho Chi Minh City

2003

Problem Solving

Design Thinking, Systems Thinking

Communication, teamwork, ...

S O F T S K I L L S

Always finding a way to learn growth

strategies, I believe that data analyst is

much more than analyze data. It would

be about products, customers and a

path to grow steadily, every month.

A B O U T M E

2. Customer Churn Analysis (Power BI)

Choosing the right visualizations to perform different metrics and using proper structure to tell a story, which is actionable and provide insightful fact, tacked the key issue.

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