Power Bi Information Technology

MAI QUANG DUNG

***************@*****.*** 094-***-**** District 9, HCMC linkedin.com/in/QuangDungDS ABOUT ME

WORK

EXPERIENCE

- I am an Information Technology student at the University of Science, with strong skills in Power BI, SQL, and Python, combined with a solid foundation in mathematics. I am capable of working across the entire data lifecycle — from exploring, cleaning, and transforming raw data to modeling, analyzing, and visualizing insights.

- Moreover, I excel at identifying trends, patterns, and anomalies, and translating them into clear, actionable information. With youth, enthusiasm, and a serious work ethic, I am committed to delivering precise, effective, and high-quality outcomes that create real value for the business.

Fintech Business Performance Report

Link detail : https://github.com/Dungkdl/Finance-Report Link demo online : https://PBI/Finance-Report

Key responsibilities & Results

• Conducted data preprocessing & EDA: cleaned raw banking data (Excel/CSV), handled missing values & outliers, built glossary for business rules.

• Designed and implemented a Data Warehouse schema (Dim/Fact tables) for finance & HR reporting.

• Developed and optimized ETL workflows using SQL/PLSQL stored procedures, automating KPI calculations (Benefit,Cost,CIR, Margin, NPL, staff performance...).

• Developed SQL views and connected Power BI via DirectQuery; utilized DAX and various visualizations to present key metrics, helping leadership uncover insights for strategic decisions. Gain Values

• Strengthened SQL/PLSQL, and Power BI skills by delivering an end-to-end reporting project.

• Improved analytical thinking and problem-solving through KPI modeling and automation.

• Gained experience in translating business requirements into data models, dashboards

• Acquired domain knowledge in fintech & banking (card statement processing & analysis). TECHNICAL

SKILLS

- Programming Languages : C/C++,

Python (Strong)

- RDBMS : PostgreSQL, SQL Server

- Database Languages : SQL/PLSQL

- Database Tools : Dbeaver, SSMS

- Data Processing: Data wrangling,

preprocessing, handling missing

values & outliers

- Machine Learning: Scikit-learn (basic

models training & evaluation)

- Visualization: Power BI, Matplotlib

- Version Control: Git

SOFT SKILLS - Problem-solving, critical &

analytical thinking

- Effective communication &

presentation

- Collaboration & teamwork across

functions

- Time management & adaptability

- English proficiency (reading

technical docs)

EDUCATION VNUHCM – University of Science

Major: Data Science

GPA: 8.5/10

REFERENCE PHAM LONG VAN – MENTOR

Data Manager, Eton Corporation

Phone: 090-***-****

Contact this candidate