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Van Nguyen
AI-Engineer - Data Scientist
AI-Engineer - Data Scientist
Data Scientist and AI Engineer with over two years of hands-on experience in developing and deploying machine learning and deep learning models. Skilled in working with diverse datasets and delivering high-quality, data-driven solutions. Known for a creative yet detail-oriented approach and a strong preference for professional, results-focused environments. Committed to quality and meaningful impact over volume.
GPU-based seam carving using C and CUDA, with several optimized versions to enhance performance.
Applied K-Means Clustering and K-Nearest Neighbors algorithms to process and analyze data using machine learning.
Trained SMS spam detection models using both machine learning and deep learning techniques.
Crawled data from the 2022 Forbes Global 2000 list and applied various machine learning algorithms for data analysis and processing
Vietnam National University Ho Chi Minh City University of Science
AI-powered face shape analysis and wig overlay with automatic hairstyle recommendations based on facial features.
Integrated with WhatsApp Cloud API, the chatbot uses GPT-4o or GPT-4.5 to answer product and service-related questions, provide shopping guidance, and support natural conversations. It includes a smart fallback to human agents when needed and remembers customer history for personalized responses.
AI-trained models enable users to virtually try on clothes and dresses by overlaying garments on user photos, enhancing the online shopping experience with realistic visual previews.
We analyze customer behavior data and apply machine learning models to segment users and generate personalized recommendations based on their actions and similar customer profiles.
Calculated sales commission percentages analyzed sales performance data using machine learning models to identify trends and patterns, enabling data-driven decision-making. Developed a system to track and manage sales commissions, ensuring accurate and timely payments to sales agents; Settled service packages for customers based on their needs and contractual terms Recommended suitable products and services tailored to each customer.
Predict customer churn and analyze cost-risk-profit trade-offs using data-driven models to support strategic planning. The system recommends suitable service packages tailored to customer needs while optimizing business growth.
