DATA SCIENTIST

Technical Skills: Python, SQL, R, ML/DL, Power BI, MongoDB

Soft Skills: Word, Excel, Canva, GenAI

Language: Vietnamese and English (Bilingual Proficiency)

BIOGRAPHY

Nguyen Quoc Anh, also known as Anh Q. Nguyen in publications, is an ambitious data scientist and AI research scholar at The Business School, RMIT Vietnam. Anh excels in interdisciplinary study, blending finance, business analysis, and data science (from CFA to BA and DS). He is recognised for pioneering predictive models that incorporate Chaos Theory to enhance forecasting accuracy. His goal is to leverage decentralised AI for breakthroughs in algorithmic trading and data security, contributing to a more innovative digital economy.

EDUCATION

B.Bus., Economics and Finance RMIT Vietnam
CPE., Data Science and Applied AI NASBA Association
IELTS 7.0 (8.0 in Listening) IDP Education

WORK EXPERIENCE

AI Systems and LLMs Trainer @ Outlier, San Francisco, California, United States (April 2024 - Present)

Trained multiple AI bots to be proficient in Vietnamese under the Bulba Project, improved LLMs responding logic by generating highly natural prompt for multiple turns in one conversation.
Engineered prompts to reach the highest accuracy and rationality, surpassed ChatGPT-4 linguistic capability, leveraged copywriting skills to generate native Vietnamese dialouges.
Monitored continuous system responses to spot errors, flagged the bugs to Team Lead for review or attempted to re-regulate the language system from scratch.

Collaborative Researcher @ The Business School, RMIT Vietnam, Department of Economics and Finance (March 2023 - Present)

Mined and cleaned data from web APIs or open source and developed ML/DL-based predictive models integrating Chaos Theory that improved time series forecasting performance by over 50%.
Experienced with ARIMA/SARIMA, Random Forest, XGBoost, LSTM, and Transformer, engineered financial datasets with SMA, MACD, RSI, etc., performed A/B testing and L1/L2 regularization.
Sub-researched on Encryption and Blockchain in data privacy, simulated Federated Learning environments for Zksnark implementation to protect healthcare data training and transmission.
Pitched research gap, managed weekly projects and meetings, and generated mathematical reports/notations for papers.

Academic and Communication English Tutor @ Freelance (February 2021 - November 2022)

1:1 tutoring for 7 students (2 Onsite and 5 Online); Taught communication English for DM&C’s Korean CEO and a Japanese.
Focused on IELTS Academic training (Reading, Writing, and Speaking) and designed personalised study plans for each individual.
Gave academic consultancy to more than 200 students’ work, improving their critical thinking ability and university GPA.
100% students achieved their expected band score overall (1 Bronze medal in the National English Test for the Gifted).

PROJECTS

Phase Space Reconstructed Hybrid Deep Learning Model for Stock Price Forecasting

[Publication] [Poster] [Presentation] [Certificate]

Developed a hybrid CNN-BiLSTM-GRU model, optimized with tailored embedding dimensions and time delays for PSR.
Applied the model to forecast stock prices for major retailers including Target (TGT), Amazon (AMZN), and Walmart (WMT).
Utilized 16,000 daily stock data points from diverse stock categories to train the model.
Achieved a significant reduction in Mean Absolute Error (MAE) by 37.2% and Root Mean Square Error (RMSE) by 35.1%, demonstrating the efficacy of incorporating Chaos Theory into algorithmic trading.
Presented the project at the Digital3 Conference, RMIT Experience Day in Hanoi and HCMC, and RMIT Showcase: Impact in 2023.
A refined version of the project was submitted to the IEEE.

EEG Band Discovery

AWARDS AND HONORS

Presenter - Digital3 (D3) International Conference, HCMC, Fall 2023
Presenter - ICYREB International Conference, UEH, Fall 2023
RMIT Showcase: Project Love Meter Winner - Hall of Fame, RMIT Vietnam, Winter 2023
RMIT Showcase: Impact - Online School Showcase, Spring 2024
Invited Speaker - ICEFMR-2024 Conference, Japan, Spring 2024
Invited Peer Reviewer - Annals of Operation Research Journal (Q1/2024), Spring 2024
Invited Peer Reviewer - ICPR 2024, Spring 2024
Invited Peer Reviewer - IEEE Access, Spring 2024

PUBLICATIONS

Nguyen A, Ha S, and Phien N (2024) ‘A Lightweight Multi-Head Attention Transformer for Stock Price Forecasting’, SSRN Electronic Journal, 1(1):1-16, accessed 31 March 2024. Link to paper
Nguyen A and Ha S (2024) ‘Transforming Stock Price Forecasting: Deep Learning Architectures and Strategic Feature Engineering’, SSRN Electronic Journal, 1(1):1-14, accessed 31 March 2024. Link to paper
Nguyen A, Ha S, and Phien N (2024) ‘CNN-BiLSTM and Time Delay Embedding: A Single-Step Hybrid Deep Learning Model for Stock Price Forecasting’, SSRN Electronic Journal, 1(1):1-21, accessed 31 March 2024. Link to paper
Nguyen A, Ha S, and Phien N (2024) ‘CNN-BiLSTM-GRU and Phase Space Reconstruction In Retail Stock Price Forecasting’, SSRN Electronic Journal, 1(1):1-22, accessed 31 March 2024. Link to paper
Nguyen A (2023) ‘Long Short-Term Memory Architectures: Towards a Superlative Tech Stock Price Forecasting Model for Sustainable Economic Prosperity’, In Proceedings of The 9th International Conference for Young Researchers in Economics and Business (ICYREB), UEH Publishing House, ISBN: 978-604-346-250-0, Vol. 2, pp. 83-94. [Link to Proceeding] [Preprint]
Nguyen A, Ha S, and Thai, H (2024) ‘Phase Space Reconstructed Neural Ordinary Differential Equations Model for Stock Price Forecasting’, SSRN Electronic Journal, 1(1):1-17, accessed 8 May 2024. Link to paper
Nguyen A, Le A, Dao V, Nguyen L, and Ky T (2024) ‘The Existing Inaccessibility of Science in Neoliberal Academia’, SSRN Electronic Journal, 1(1):1-35, accessed 25 May 2024. Link to paper
Anh N (2024) ‘Con Người 5.0: Mất mạng là “Mất mạng”?’, Quan Điểm-Tranh Luận, Spiderum, accessed 31 March 2024. Link to article

VOLUNTEER

February 2021 to present - 20% of the Freelance income is monthly contributed to poor people and urgent cases through networking.
January 2024 - Reviewed Q1 article for ANOR Journal of Springer Nature.
March 2024 - Assisted “Con Duong Xanh” group to construct and repair roads for Truc Lam Tri Duc Zen Monastery.
April 2024 - Reviewed conference papers for ICPR 2024 (IAPR’s flagship conference; Qualis: A1 & CORE: B)
May 2024 - Reviewed journal papers for IEEE Access (Q2)