Data Science, Data Engineer, AI Engineer

Tran Minh Hien

AI Engineer Intern

****************@*****.*** 039******* Ho Chi Minh tmh1008 TMHippo INTRODUCTION

I am a final year student majoring in Data Science at the University of Science, with a final career architecture project of 2025. I have accumulated experience through internships, research, and competitions. With the spirit of continuous learning, I am confident that I can secure good positions in this field. EDUCATION

Bachelor's Degree in Data Science

University of Science - Vietnam National University GPA: 3.28/4

2021 – present

TECHNICAL SKILLS

Programming Languages

Python, R, SQL, C/C++

Hard Skills

Machine Learning, Deep Learning, LLM, NLP, Data Preprocessing & Statistics Tools & Platforms

Git, GitHub, Jupyter Notebook, Google Colab, Hugging Face, PowerBI Framework

TensorFlow, Keras, Scikit-learn, FastAPI

Language

Vietnamese, English

AWARDS

TOP 15 of UIT Data Science Challenge 2023 – Category A: Data Science Solutions for Smart City

11/2023

Project: APP RESOLEMATE

Developed a chatbot app using Dialogflow to collect and manage social complaint data.

•Built backend API with Flask to connect Dialogflow and the mobile app.

•Designed data pipeline to store and process structured conversational data.

•Developed Flutter-based mobile app for real-time interaction. EXPERIENCE

Data Science Intern

FinPros company

10/2024 – 02/2025

•Researched and optimized trading strategies using Sharpe Ratio, Sortino Ratio, and MDD.

•Built ML/DL models for stock trend forecasting.

•Applied statistical and time series analysis on financial data.

•Prepared reports combining analytics with quantitative trading insights. PROJECTS

SEMINAR-CROSS SECTIONAL MOMENTUM

HCM University of Science

09/2024 – 01/2025

•Researched momentum strategies: Classic, Regress-then-Rank, and Learning-to-Rank.

•Built ranking models (LambdaMART, ListNet, Random Forest) using momentum indicators.

•Developed backtesting system to evaluate Long-Short strategies.

•Achieved strong performance in both returns and risk control with LTR models. SENTIMENT CLASSIFICATION WITH BERT & XLNET

(VIETNAMESE AND ENGLISH )

05/2024 – 06/2024

HCM University of Science

•Built models on Vietnamese (UIT-VSFC) and English (IMDb) datasets.

•Designed full ML pipeline: preprocessing, tokenization, training, and inference.

•Applied fine-tuning and hyperparameter tuning for performance gains.

•Compared cross-language performance and evaluated generalization. SEOUL BIKE RENTAL

HCM University of Science

06/2024 – 07/2024

•Analyzed bike rental data and applied statistical methods to identify demand patterns.

•Built and compared multiple regression models (Linear, Poisson, Random Forest, etc.) to forecast bike usage.

•Aimed to improve operational efficiency and support sustainable urban mobility. MOVIE RECOMMENDER

HCM University of Science

11/2023 – 12/2023

•Built a recommendation system using a dataset of 45,000+ movies and 26M user ratings.

•Combined Content-Based and Collaborative Filtering with techniques like scaled weighted average and popularity scores.

•Delivered more accurate and personalized recommendations by leveraging strengths of both methods.

FACIAL ATTRIBUTE PREDICTION

HCM University of Science

06/2023 – 07/2023

•Built and optimized a CNN to detect facial attributes from images.

•Applied techniques like data augmentation, dropout, and transfer learning for better performance.

•Tuned hyperparameters to enhance accuracy and generalization.

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