Machine Learning Computer Science

NGUYEN NGOC QUYNH GIANG

MACHINE LEARNING INTERN

SDT : 03636902 - Gmail: ad6o1q@r.postjobfree.com - Github - Linkedin SUMMARY

I am currently a senior Mathematics & Computer Science student at VNUHCM - University of Science with a passion for Data, Machine Learning and Deep Learning. Looking to apply my abilities to a dynamic Machine Learning Intern position and grow into a specialist role. Committed to delivering accurate insights and supporting company goals through a dedication to continuous learning.

EDUCATION

UNIVERSITY OF SCIENCE 2020-Present

Mathematics & Computer Science GPA: 3.45

SKILLS AND BACKGROUND KNOWLEDGE

Programming Languages: Python, C/C++, SQL.

Languages: VSTEP :Level B2

Machine Learning Frameworks: Tensorflow, Keras, Pytorch, Scikit-learn, OpenCV, Pandas, NLTK Data Visualization Tools: Power BI, Matplotlib, Seaborn Cloud Platforms: AWS, Google Cloud

PERSONAL PROJECT

Sentiment Analysis Web App Using Python — Streamlit Github - Role: AI Engineer

Developed an interactive web application using Streamlit for performing sentiment analysis on both individual text inputs and bulk text data from CSV or Excel files. The application leverages TextBlob for sentiment scoring and cleantext for text preprocessing.

• Created a user-friendly tool for sentiment analysis, providing valuable insights into the emotional tone of textual data.

• Enhanced decision-making processes for marketing, customer feedback analysis, and social media monitoring. Chat With Gemi: Get Creative with Google Generative AI Github - Role: AI Engineer

• Functionalities: This web app offers a combination of AI-powered features like chatbot conversation, image captioning, and even (beta) Python code generation.

• Technologies: It leverages Google Generative AI models (Gemini-Pro, Gemini-Pro-Vision, Gemini-Pro-Code) and Streamlit for a user-friendly web interface

• Focus: The project highlights expertise in AI integration, web development, and creative problem-solving. Data Pipeline for Walmart E-commerce Sales Analysis Github - Role: Data Science

Analyze Walmart’s e-commerce sales data through an automated data pipeline.

• The project extracts data from various sources (SQL & Parquet), cleans and transforms it, calculates monthly average sales, and stores the results in CSV files for further analysis.

• This automates data processing, ensures consistency, and provides valuable insights into sales trends. CERTIFICATES

Course Title Date Range

Machine Learning 03 - 2023

Advanced Deep Learning with Keras 10 - 2023

EDA in Python 12 - 2023

Natural Language Processing in Python 03 - 2024

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