Information Technology Computer Science

TRAN THANH TRUNG

036*******

***************@*****.***

**/**/****

**/* ****** **. *, Thanh My Loi Ward,

Thu Duc City, Ho Chi Minh City

TON DUC THANG UNIVERSITY

EDUCATION

Computer Science

**/**20 - 09/2024 Senior student, majoring in Computer Science, GPA: 3.24/4.0 (8.11/10) Department of Information Technology - Ton Duc Thang University EXPERICENCE

Internship

06/2023 - 12/2023 Student support and consultation on academic matters. Compilation of students' documents and records.

Assistance in organizing events, cultural activities, and departmental sports events. Achievements:

Understanding the academic procedures for students. Being positively evaluated as proactive and diligent in work, demonstrating good listening skills and being receptive to feedback.

SKILLS

Natural language processing: Question and Answering, Machine translation, Text Summary Machine Learning & Deep Learning:

Classify articles by topic using the RNN model.

The summary of the article on the mT5 model.

Predicting stock prices on time series.

Surveying automatic question-answering systems on large datasets. Business Analyst: Python, R, Power BI, SQL.

Microsoft Office (Word, Excel, PowerPoint), Adobe Premiere, Photoshop, Capcut PC, Canva... LANGUAGES

International certificate Aptis ESOL B2 (168)

English for Communication

Reading comprehension of foreign documents and articles TARGET

I am a senior student majoring in Computer Science at Ton Duc Thang University with a passion for data science, machine learning, deep learning, and natural language processing. I aim to enhance my skills, problem-solving abilities, and gain experience in an enterprise environment through an internship in Data Science & Artificial Intelligence. AWARD

2022

2022

Achieved First Prize in the Recursion Academic Competition Season 2, Department of Information Technology. Certificate of Commendation for actively contributing to the Youth Union activities during the academic year 2021-2022. PROJECTS

CLASSIFICATION OF ARTICLES BY TOPICS

Times: 1 month

Short description:

Input: article content; Output: Article topic.

Learn complex Word Embedding such as Word2Vec, FastText, and the CBOW method. Use LSTM and GRU classification models.

SURVEY OF AUTOMATIC QUESTION-ANSWERING MODELS ON LARGE-SCALE DATASET Times: 2 month

Short description:

Survey and comprehend the structure of Transformer, BERT, GPT, XLNet, and T5 models. Explore large datasets and the CoQA dataset.

Fine-tune the T5-base model on the CoQA dataset.

PREDICTING STOCK PRICES ON TIME SERIES

Times: 1 month

Short description:

Data preprocessing, and scaling using MinMax.

Employ RNN networks like LSTM to predict stock prices in Time Series. Transforming into a classification problem based on the profit ratio of stocks, using KNN, Logistic Regression, and Random Forest.

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