Business Intelligence Analyst Candidate with Data Analytics Focus

LÊ NGUYỄN ANH PHONG

034*-***-*** **********@*****.*** github.com/anhphong27

EDUCATION

HO CHI MINH CITY OPEN UNIVERSITY – BACHELOR OF COMPUTER SCIENCE 2021 – 2025

GPA: 3.2/4.0

Focus areas: Data Analytics, Machine Learning, Data Science. SAMSUNG INNOVATION CAMPUS 2023 – 2024

Field: Artificial Intelligence (AI).

SKILLS

Programming Languages: Python, SQL, HTML, CSS, JavaScript. Framework: Flask, Pandas, Scikit-learn.

BI Tools & Cloud: Excel, Power BI, AWS (EC2, S3, Aurora) Business Skills: Requirements gathering, workflow and process design WORK EXPERIENCE

BUSINESS ANALYST – IT HELP DESK AT CÔNG TY TNHH GIÁO DỤC HỒ THÀNH 6/2025 – 9/2025

Documented workflows and collaborated with outsourcing teams to enhance system performance.

Diagnosed and resolved hardware/software issues to ensure smooth operations.

Managed and maintained the Student Management System (SMS) and Learning Management System (LMS). BUSINESS ANALYST AT CÔNG TY TNHH THƯƠNG MẠI VÀ DỊCH VỤ NINA 4/2025 – 6/2025

Discussed with clients to define website requirements.

Designed mockups and worked with developers to build the websites.

Found and secured new clients.

PROJECTS

Customer Segmentation and Customer Profile Analysis

Analyzed a dataset of approximately 8,000 records containing information on occupation, marital status, and consumption behavior to segment customers into four distinct clusters.

Visualized customer clusters using key attributes to better understand behavioral patterns.

Identified occupation, marital status, and family size as the main factors defining the characteristics of each customer segment.

Hair Loss Cause Analysis and Prediction (Luke Dataset)

Analyzed a daily log dataset consisting of 400 records to identify factors affecting an individual’s hair loss condition.

Built a predictive model to estimate the probability of hair loss, achieving 84% accuracy.

Utilized Python and the following libraries:

o Pandas for data loading, dataframe creation, exploratory data analysis, and preprocessing. o Matplotlib for data visualization.

o Scikit-learn for building and evaluating classification models. CLOUD STORAGE APPLICATION

Designed and implemented a SaaS application enabling users to upload, store, and manage personal files on the cloud.

Deployed cloud on AWS infrastructure.

Backend: Python Flask Frontend with HTML, CSS, and JavaScript

Integrated Stripe API for secure online payment processing.

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