Aspiring Data Analyst with hands-on experience in SQL, Power BI and Python, skilled in transforming large-scale datasets into actionable insights through data analysis, dashboard development, and workflow automation to support business decision-making and improve operational performance. Recognized for strong analytical thinking, attention to detail, and adaptability, with a commitment to building a career in data analytics and leveraging data to drive business impact.
π₯ Third Prize - Vietnam Student Informatics Olympiad 2025
π Top 5 Finalist - Grab for the Future Hackathon 2026 (Certificate)
π Prize A & B - Young Researcher Award 2025
π Multiple Scholarships for Outstanding Academic and Extracurricular Performance - Ranked Top 1β2 in the Major
π IBM Data Analyst Certificate (Certificate)
π Published in Springer
Research Areas: NLP, Setiment Analytics, Topic Modeling, Consumer Insights, Tourism Analytics
π DOI: http://dx.doi.org/10.1007/978-3-032-07721-9_55
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Developed an end-to-end Customer Support Intelligence solution that enables organizations to monitor operational performance and better understand customer feedback. The solution features interactive Power BI dashboards, NLP-based topic modeling for customer voice analysis, and an automated executive reporting workflow built with n8n and the OpenAI API. π§ Tools Used π View Project |
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Conducted customer journey analysis on 41 million+ e-commerce events to identify behavioral trends, conversion opportunities, and product interaction patterns. Developed interactive dashboards and a transition-based recommendation engine to support customer engagement and improve customer experience. π§ Tools Used π View Project |
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Analyzed multi-country chocolate sales data to identify revenue drivers, optimize price-pack strategies, evaluate promotion effectiveness, and uncover growth opportunities across brands, customer segments, and sales channels. π§ Tools Used π View Project |
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Built an end-to-end Credit Risk Analytics and Credit Scoring solution using bureau, previous loan, and repayment data to estimate Probability of Default (PD) with XGBoost. Developed risk segmentation frameworks and interactive dashboards for portfolio monitoring, customer profiling, and credit risk reporting. π§ Tools Used π View Project |
- LinkedIn: https://www.linkedin.com/in/minhnguyen293/
- Email: minhnguyen29p304@gmail.com
β Nothing is impossible π« Learn, learn more, learn forever



