Machine Learning Data Science

LE DUY TAM

TP.HCM, VietNam +84-98-427-**** ********@*****.***

As a Computer Science graduate with a solid foundation in Data Science and additional training in Java Fullstack Development, I have a strong interest in working with data and applying practical skills to solve real-world problems. I have developed knowledge and practical experience in working with structured data using SQL, building intelligent systems through machine learning and deep learning. I am always eager to explore new technologies and continuously improve myself both technically and professionally in a dynamic and collaborative environment. EDUCATION

Industrial University of Ho Chi Minh City Tp.HCM, VN Computer Science Sep 2019 – 2024

Major in Data Science

Cumulative GPA: 3.12/4.0

Relevant Coursework: Machine Learning, Deep Learning, Computer Vision, Big Data, Data Analysis Programming, Data Structures and Algorithms, Data Mining and Applications, Data Visualization, Probability. Korea IT School HCMC Tp.HCM, VN

Java FullStack Developer Jul 2024 – Oct 2024

Relevant Coursework: HTML, CSS, JavaScript, React, Redux, React JS, MySQL, Java, Spring Boot. UNIVERSITY PROJECTS

● Thesis - BUILDING A CONTENT-BASED IMAGE RETRIEVAL SYSTEM USING CNN AND HASH The image retrieval system is based on content, utilizing Convolutional Neural Networks (CNN) and hashing. It employs a CNN to extract image features, which are then transformed into binary hash codes, representing each hash code as a binary vector. The input image is processed to obtain a binary hash code, which is then used to calculate the Hamming distance with the set of binary hash codes in the dataset. The system then suggests the top k images with the lowest Hamming distance compared to the input image. The primary dataset used for this system is the "fashion-product- images-dataset," sourced from Kaggle.

Link GitHub: GitHub

Link report: Report

Link poster: Poster

● ThanhLiWeb – BUILDING AN E-COMMERCE WEB APPLICATION ThanhLiWeb is a simple e-commerce web application developed using modern frontend technologies. The system allows users to view, filter, and interact with a list of products through a clean and responsive interface. It integrates state management with Redux, routing via React Router, and API interaction through Axios using a Mock-API backend. The UI is built with React Strap and Bootstrap to ensure responsiveness and user-friendliness. The project is deployed and accessible via GitHub Pages.

Technologies: React, Redux, React Router, React Strap, Bootstrap, Axios, Mock-API. Link GitHub: GitHub

Link Demo: Demo

TECHNICAL SKILLS

Programming Language: Python, C/C++, Java, JavaScript. Database: Numpy, Pandas, MySQL, PostgreSQL, Hadoop, Spark, BI tools (Metabase, Matplotlib, Seaborn, Plotly, etc. Web: HTML, CSS, React JS, Bootstrap, Spring Boot

Tools: Power BI, Docker, Flask, Git/GitHub, Linux

Languages: Vietnamese, English (basic).

SOFT SKILLS

• Time management: organization, planning, goal setting

• Adaptability: self-management, self-motivation

• Creativity, teamwork

• Problem-solving skills: Observation, analysis, brainstorming, and decision making.

• Communication: presentation, active listening

WORKING EXPERIENCE

11/2024 - Now

WestWorldVN

IT support

Primary responsibilities include providing user support for hardware, software, licensing, and networking issues; setting up and maintaining workstations and core IT infrastructure. Contributed to developing internal tools and websites to assist artists and project managers. Explored and configured virtual environments, network services, and automation systems to enhance efficiency and reliability across the company’s IT operations

● Characteristics:

− Assisted users in troubleshooting software, hardware, and licensing issues.

− Set up and configured hardware and software for end users, ensuring systems were ready for operational use.

− Provided technical support by identifying and fixing network-related problems, ensuring stable and secure connectivity across virtual and physical environments.

− Configured and replaced faulty switches and resolved problems related to camera and Wi-Fi connections.

− Explored and configured DHCP, TFTP, and HTTP services on virtual machines as part of a hands-on project to understand network service setup and integration.

− Set up and configured the PXE server, boot loader, and OS image deployment.

− Installed and configured XenServer for virtualized environments, including setting up hosts to create and manage virtual machines, allocating CPU, RAM, and storage resources, and configuring networking and storage for optimal performance. I also installed and set up XenCenter to efficiently monitor and manage virtual machines and server infrastructure.

− Designed and implemented a MongoDB database for a company-internal website that enables users to search and access work-related document templates. Responsible for schema design, data modeling, and integration with the front-end application.

− Developed a desktop application using Tkinter with a user-friendly interface for importing CSV files. Utilized Pandas and NumPy to process data and calculate total working hours by month, year, and tasks.

● Technologies: Linux (Rocky), XenServer, PXE, Python, MySQL, Networking. 01/2023 – 05/2023

MINHLONG MOTOR

Data Analyst Intern

Primary responsibilities include collecting and performing in-depth data analysis using graphs, charts, diagrams, tables, and reports. Process data gathered from social networks and websites is used to extract valuable insights for the company and identify and research potential customers.

● Characteristics:

− Collected and processed diverse datasets from both internal (sales data, customer records, call recordings) and external sources (Facebook fanpages, dealership websites, and public population datasets of Ho Chi Minh City).

− Utilized Python libraries (Pandas, NumPy) to clean, transform, and standardize data for analysis preparation

− Designed and managed SQL databases (MySQL) to store and query customer data, dealership locations, and population data. Created complex SQL queries to filter, group, and aggregate business metrics to support strategic decision-making.

− Conducted market analysis by comparing vehicle prices, store density, and regional demographics to assess business potential and customer distribution.

− Built interactive dashboards using Power BI and visualized insights through Matplotlib and Seaborn, including heatmaps integrating store locations and population density.

− Utilized Selenium and BeautifulSoup to crawl websites and social media pages, collecting data for analysis and reporting. Automated data extraction from websites and social media using Selenium for dynamic content handling and BeautifulSoup for parsing HTML.

− Leveraged natural language processing (NLP) techniques to extract phone numbers, relevant keywords, and customer intent from Facebook comments and posts

− Delivered a comprehensive final report and dashboard presentation, summarizing market insights and providing actionable recommendations for business strategy.

● Technologies: Power BI, Power Query, Python (Pandas, Numpy, Matplotlib, Plotly, Seaborn, Beautiful Soup, Selenium, …),

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