Machine Learning Data Engineer

TUAN-NGUYEN MINH

Ho Chi Minh city, Vietnam **.******@*****.*** +84-859-***-***

Fourth-year student studying Computer Engineering Technology at the HCMC University of Technology and Education. I have experience in applying data to the financial markets, especially in unconstrained search of new alphas using Python. I also have strong skills in data structures, algorithms, and some particular knowledge of object-oriented programming. I am also passionate about Artificial Intelligence and Machine Learning, along with the Quantitative Finance field. EDUCATION

HCMC University of Technology and Education 2020 – Present

Computer Engineering Technology

Overall GPA: 7.25 /10

WORK EXPERIENCE

Quantitative Researcher Intern, Finpros Investment JSC Co. Jun 2023 – Nov 2023

Assosiate in designed ETL workflows, maintain a database of more than 1600 stock codes.

Assosiate in building Alphas to identify high-quality predictive signals for Quantitative Investment

Assosiate in applications of TA (Technical Analysis), Technical Indicator, Artificial Intelligence and Machine Learning algorithms in Vietnam Derivatives market

Assosiate in Processing, Feature Engineering for Financial Time-Series

Programming Language(s): Python

Personal Tutor, Freelance Nov 2020 – Sep 2022

Teaching Mathematics, Physics for Grade 6-11 Students TECHNICAL SKILLS

OS: Familiar with Windows, Linux

C/C++: Advanced programming, Object-oriented programming, Data structures & Algorithms Python: Machine Learning algorithms and Data Science process, familiar with Pandas, SciKit-Learn, Keras, Matplotlib libraries SQL: Familiar with Windown function, Subqueries, Pivoting data in SQL AI framework: Experience with Pytorch and Tensorflow Database management system: MSSQL, PostgresSQL and Database knowledge Version Control: Experience with Git using Linux command line Domain knowledge: Familiar with Probability Statistics, and other Math concepts Languages: Toeic 550

PROJECTS

Applying Machine Learning models for Quantitative Investment Jun 2023 – Nov 2023

Crawling stock data (VN30 index) from Entrade platform using API requests, exploring and preprocessing the dataset

Feature engineering for Stock Time-Series and applying multiple deep learning models ( Transformer, LSTM,

Random Forest ) to predict stock price movement

Evaluate models by Backtesting and create Paper Trading systems based on the predicted signals Generative AI for Cyber Threat-Hunting in IoT Networks Jun 2023 – Oct 2023

Dataset is composed of 15 classes, comprising 1 Normal and 14 attack was sourced from over 10 types of IoT devices .

Building generative adversarial network (GAN) model and Transformer-based model for Cyber Threat-Hunting from The Edge-IIoT dataset

Crawl and analyst data on the website thegioididong.com Apr 2023 – May 2023

Use Selenium Framework to crawl data on the website thegioididong and then use pandas build to data frame

DDL and DML data based on designed ERD with SQL and visualization data with Power BI Customer Segmentation Jan 2023 – Apr 2023

Collected E-commerce data from Kaggle and performed exploratory analysis, implemented K-mean clustering to create ML-base customer segments

Visualized and explained the result created from the segmentation model.(ie: which type of customer tends to pay more for the product..)

Spotify EDA & Music trends prediction Oct 2022 – Jan 2023

Crawling music data from Spotify using API requests with OAuth, exploring and analyzing the dataset

Preprocessing the dataset and build models using Linear Regression to predict a song’s popularity score Time Series paper research project Nov 2022 – Dec 2022

Researching papers about Time Series and weather forecasting using various deep learning models

Building models using RNN, LSTM and GRU to forecast weather using dataset in Beijing, then evaluate the models INTERESTS

Play sport: Football

Watch movie

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