AI Engineer Intern Candidate with Strong CS Foundation

Final-year Computer Science student at Ton Duc Thang University, seeking a challenging

Intern/Fresher role in Business Analysis or AI/Data Engineering. I possess a strong foundation in both technical development (software systems) and analytical problem-solving. My focus lies in acting as a bridge to translate complex business needs into data- driven, practical technical solutions, utilizing core competencies in modeling business requirements and applying Machine Learning/Data Science concepts. Highly committed to delivering value through rigorous analysis and continuous learning in a professional environment. LE PHAM HOANG PHUONG

SUMMARY

District 7, HCM City

BUSINESS ANALYST • AI/DATA ENGINEER

EDUCATION

Ton Duc Thang University

Bachelor of Computer Science

Expected graduation date: April, 2026 GPA: 7.67/10 Cambridge English: Preliminary B2

Aptis ESOL General B2

January, 2023

September, 2025

Google Digital Garage, Google Analytics, Google Ads 2022 Certification

WORK EXPERIENCE

Managed daily business operations, encompassing customer data management, loan processing, and documentation, ensuring regulatory compliance and smooth workflow. Streamlined financial reporting and rigorously analyzed customer credit data, achieving an average loan approval rate of 28% for submitted applications and contributing to a 10% faster approval rate for low-risk cases.

Served as a primary client communicator, successfully providing product information, handling complex inquiries, and maintaining a high level of service satisfaction, contributing to a strong 35% customer re-loan rate.

Collaborated effectively with the sales and risk management teams to streamline workflow efficiency and significantly enhance the overall customer experience. Participated actively in internal strategic projects focused on financial product marketing and customer service improvement initiatives.

Business Development Executive - Shinhan Finance, HCMC April, 2024 – June, 2025 github.com/HoangPhuong1710 • linkedin.com/in/phuongleph Tel: 039******* • ***************@*****.*** •

Designed and developed an end-to-end Business Intelligence (BI) system, integrating descriptive, predictive, and prescriptive analytics to fundamentally enhance customer experience and strategic decision-making.

Created and deployed machine learning models (Purchase Likelihood, Churn Prediction) to segment and forecast customer behavior, enabling targeted marketing and retention strategies. Developed interactive Tableau dashboards to visualize critical customer insights, product performance, and revenue trends, improving stakeholder visibility into key business drivers. Delivered a Streamlit BI application for real-time access to analytics results, effectively optimizing data-driven decision cycles for business teams.

Tools: Python, Pandas, NumPy, Scikit-learn, SQL, Tableau, StreamLit, Plotly, ETL Pipelines, Data Warehousing, BI Frameworks.

E-commerce Customer Experience Analytics October, 2024 – December, 2024 PROJECTS

Engineered a state-of-the-art multimodal financial prediction system, integrating OHLCV time-series and FinBERT-tuned news sentiment to capture comprehensive market signals. Designed and trained a DQN-based Reinforcement Learning agent to optimize Buy/Sell/Hold actions within a custom trading environment, focusing on strategic decision-making. Implemented full backtesting and portfolio simulation, resulting in significantly higher simulated ROI

(Return on Investment) compared to traditional baseline strategies. Validated model performance through rigorous financial metrics including Sharpe Ratio and Max Drawdown, ensuring the stability and profitability of the trading strategy. Tools: Python, PyTorch, Scikit-learn, FinBERT, LSTM, Transformer, CNN-ATT, DQN RL, Pandas, NumPy, Matplotlib, Financial Backtesting Tools.

Multimodal Financial Trend Prediction with ROI Analysis September, 2025 – Present Developed a Full-Stack POS application using Node.js/Express.js, architecting a RESTful API to manage core transactional and inventory data operations. Integrated MongoDB to handle high-volume sales and product inventory, ensuring real-time stock tracking and efficient data retrieval.

Delivered robust Inventory and Transaction Modules, enabling staff to process sales quickly and providing Admin Dashboard reports for critical business insights. Tools: Node.js, Express.js, MongoDB, RESTful API, Postman, HTML/CSS, Bootstrap. Point of Sale (POS) Web Application for Phone Retail Store October, 2023 SKILLS

Programming Languages & Tools

Language: Python, SQL, JavaScript, Java, C/C#.

Databases & BI: MongoDB, SQL Server Management Studio (SSMS), Power BI, Tableau. Web/Backend: Node.js, Express.js, PHP, HTML, CSS, Bootstrap, RESTful API. Dev Tools: Visual Studio (.NET), Android Studio, Postman. Specialized Skills

Data Science: Supervised & Unsupervised Learning, Deep Learning: Neural Networks (LSTM, Transformer), NLP (Text & Sentiment Analysis), Data Preprocessing, Feature Engineering, Model Evaluation.

Business Analysis: Requirements Elicitation & Analysis, Business Process Modeling (BPMN), Prototyping.

Other: Figma, Draw.io, Star UML, Wordpress.

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