LE-DUY TRAN
Data Engineer Fresher
\faAt : ********@*****.*** \faPhone : +84-799****** \faMapMarker : Ho Chi Minh city, Viet Nam
\faGlobe : linkedin.com/in/duy-tran-le
EDUCATION
Bachelor of Science in Computer Science – GPA: 7.26/10 University of Information Technology - VNUHCM
z September 2018 – September 2022
TOEIC LR & SW – Scores: 785 & 240
IIG VIETNAM - HCM
z September 2024
WORK EXPERIENCE
DATA ANALYST INTERNSHIP
First Virtue - Nhân Trí LLC
z January 2022 - May 2022 * Ho Chi Minh city, Viet Nam Main responsibilities:
• Receive file information from documents of The USA’s customers provided by the system.
• Work on software to filter necessary data according to customer requirements (about property, mortgage )
• Extract data to serve customers work through reports by Power BI.
DATA INTEGRATION
Antsomi CDP 365
z July 2022 - October 2024 * Ho Chi Minh city, Viet Nam Main responsibilities:
• Review our partners’ products and come up with the optimal monetization solutions and lead the integration process with various source (eg.Haravan, Kiot Viet, Shopify ).
• Develop software integration flows (SQL, Python), web services
(JavaScript) and APIs. Add new capabilities to the API/SDK as needed to meet merchants’ requirements.
• Basic knowledge of Apache ETL tools, with foundational understanding of PySpark, Kafka, and HBase for data processing and
streaming.
Our Partners:
Kid Plaza Tokyo Life NKid Group PNJ Golden Gate Group Hoang Phuc International Hoang Gia Pearl ZUS Coffee Aristino MVillage Clarks levents Mioto IBasic
CERTIFICATES
Data Engineering Essentials using
SQL, Python, and PySpark
Udemy
z September 2022
SKILLS
• Strong Python Programming skills on
Integrating Data (Libraries: Pandas, Numpy,
SQLAlchemy...).
• Strong SQL/MySQL/PostgreSQL skills for
Processing Data.
• Good at learning, sharing knowledge and
opinions well in teamwork.
• Advanced Level in English, able to
understand well English technique
documents and communicate.
HIGHLIGHT PROJECT
Predict Future Sales
MACHINE LEARNING
z February 2020 – May 2020
Main responsibilities:
• Focus on the problem of predicting the
sales of Korean restaurants in the next 2
to 3 years.
• Write a complete report and give a
presentation on the algorithms that make
up the project.
• Dataset: Kaggle.
• Algorithm: Linear Regression, ARIMA.