ABOUT
I am currently in my senior
year pursuing a Bachelor's
Degree in Information
System at University of
Information Technology (UIT)
HOA PHAN
District 8, Ho Chi Minh
city, Viet Nam
************@*****.***
RELEVANT COURSES
Implement statistical analysis using Python in order to figure out features that possibly affect passenger satisfaction and predict whether passengers are
satisfied or not.
Tools: GgColab
AIRLINE PASSENGER SATISFACTION PREDICTION
Data Mining, Online Analytical Processing, Business Data Analytics, Distributed Database Management
Statistical Machine Learning, Big Data, Decision
Support System
Project Management, Communication Skills, Enterprise Resource Planning, Supply Chain Management
BANK CUSTOMER CHURN PREDICTION
Building a data warehouse to store Ecommerce data, query data, and visualize using Power BI to analyze customer characteristics, customer shopping habits, distribution networks, and product combinations to see the connection between delivery speed and customer loyalty.
Tools: SQL Server, Excel, Power BI
ECOMMERCE ANALYTICS
WORK EXPERIENCES
WEAVE CONSULTING &
ANALYTICS VIETNAM - DA Intern
SKILLS
Advanced Excel, MS Office
Data Visualization, Power BI
Advanced SQL, NoSQL
R statistics, Hadoop & Spark
CONTACT
Python for Data Analysis and
Machine Learning algorithms
Crawl data
AWARDS
Advanced Information
System Contest 2021
4th prize in Bussiness
Intelligence season 6 2022
SCHOOL PROJECTS
Statistical analysis, Exploratory Data Analysis and implementation of Machine Learning models in order to construct classification models for the purpose of identifying bank churners.
Tools: Google Colab, Scikit-Learn
Research and build
Blockchain Applications to
Supply chain Management
of Fruits in Vietnam
Jul 2022 - Dec 2022
Data analysis and construction of a system to optimize production processes for supply chain management
enterprises.
Tools: Python, Power BI
Studying Information Systems
VNU-HCMC - UNIVERSITY OF
INFORMATION TECHNOLOGY
Aug 2019 - Present
EDUCATION
GPA: 7.9/10
PERSONAL PROJECTS -
Building a recommendation system and analyzing
Marvel movies using Item - item Neighborhood-based Collaborative Filtering algorithm on the MovieLens dataset (Marvel movies).
Tools: Pyspark, Virtual Machine & Jupyter
BUILDING MOVIES RECOMMENDATION SYSTEM
Jan 2022 - June 2022
Prize for Student of 5 merits
Good English (CEFR Level B2)
https://github.com/qnhhoa