Data Science Analyst

NHINGUYEN

# **.********@*****.*** I 037-***-**** ð linkedin.com/in/nhinn23

PERSONAL PROFILE

Undergraduate student in Data Science and Analysis at University of Economics Ho Chi Minh City. Equipped with a solid foundation in data science principles, I am eager to apply this knowledge in a practical setting. Actively pursuing a Data Analyst Intern position, I bring technical expertise and a "come-ready-to-learn" attitude, emphasizing continuous self-learning to stay updated on evolving technologies. EDUCATION

University of Economics Ho Chi Minh City Data Science 2021

• Year of Graduation: March 2025

• Cumulative GPA: 3.61/4.0 (Ranking: High Distinction)

• Related Coursework: Mathematical Statistics, Database, Business Analyst, Data Anal- ysis Programming, Data Visualization, Machine Learning, Data Mining, Natural Lan- guage Processing

• Skills Developed:

– Developed skill in Python for data analysis and machine learning.

– Implemented data manipulation and visualization using tools like Pandas, Matplotlib, and Seaborn.

– Applied statistical methods to draw meaningful insights from data.

– Acquired hands-on experience with writing SQL queries for extracting, transform- ing, and analyzing data from relational databases. UNIVERSITY PROJECTS

Predicting Hotel Room Cancellations Using Frequent Patterns Link 2023

• Analyzing data of hotel bookings from July 2017 to December 2018 with 19 attributes such as check-in and check-out dates, reservation creation date, and other details.

• Identifying behavioral patterns in customers to enhance the accuracy of predicting room cancellations and gaining insights into customer behaviors and trends.

• Technical Skill Algorithm Study & Development, Data Preprocessing, Model Evalua- tion.

Studying the ECLAT Association Rule Mining Algorithm Link 2023

• Studying ECLAT algorithm for mining frequent patterns, applied it to real-world data to explore association rules in store products and customer purchasing trends.

• Exploring algorithm enhancements, including product grouping for data optimization, global order alteration for improved processing time, and memory optimization using the Diffset method.

• Technical Skill Algorithm Exploration, Illustrative Examples, Algorithm Optimization. SKILLS

Hard Skills Statistics and Probability, Python (Numpy, Pandas, Matplotlib, Seaborn, Scikit- learn), R, Power BI, SQL

Soft Skills Self-learning, Problem-solving, Presentation, Time Management, Teamwork, Reporting Writing, Critical, Logical and Analytical Thinking Language English (TOEIC 850), Vietnamese

Ro Résumé – Page 1 of 1

Contact this candidate