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minhnguyen290304/README.md

Hi there 👋 I'm Minh Nguyen 🐧 or Nguyen Cong Minh ⛄

💫 About Me

Aspiring Data Analyst with hands-on experience in SQL, Python, Power BI, and Machine Learning, experienced in transforming large-scale datasets into actionable insights, developing dashboards, and applying analytical methods to support data-driven decision making. 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.

🏆 Achievements

🥉 Third Prize - Vietnam Student Informatics Olympiad 2025

🏅 Prize A & B - Young Researcher Award 2025

🎓 Multiple Merit-based Scholarships (2023-2026)

🛠️ Tech Stack

Analytics & BI

SQL Microsoft SQL Server Power BI Looker Studio

Data Science

Python Pandas NumPy Scikit-Learn

Programming

Python C++

📖 Publication

Market Tourism and Tourist Perceptions: A Topic Modeling Analysis of Ben Thanh Market

From Smart Cities to Smart Factories for a Sustainable Future

📄 Published in Springer

Research Areas: NLP, Setiment Analytics, Topic Modeling, Consumer Insights, Tourism Analytics

🔗 DOI: http://dx.doi.org/10.1007/978-3-032-07721-9_55

📂 Featured Projects

🛒 OTTO E-commerce Customer Journey Analytics & Product Recommendation

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.

🔧 Tools Used



🔗 View Project

🍫 Chocolate Market Sales, Price-Pack & Promotion Analytics

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.

🔧 Tools Used



🔗 View Project

🏦 Home Credit Credit Risk Analytics: PD Modeling & Risk Segmentation

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.

🔧 Tools Used



🔗 View Project

📫 Connect With Me

⭐ Nothing is impossible 💫 Learn, learn more, learn forever

Pinned Loading

  1. Chocolate-Market-Sales-Price-Pack-Promotion-Analytics Chocolate-Market-Sales-Price-Pack-Promotion-Analytics Public

    Analyzed multi-country chocolate sales data to identify revenue drivers, optimize price-pack strategies, evaluate promotion effectiveness, and uncover growth opportunities across brands, customer s…

    TSQL

  2. Home-Credit-Risk-Analytics-PD-Modeling-and-Risk-Segmentation Home-Credit-Risk-Analytics-PD-Modeling-and-Risk-Segmentation Public

    End-to-end Credit Risk Analytics project featuring PD modeling, risk segmentation, portfolio monitoring, SQL risk marts, and interactive Power BI dashboards.

    Jupyter Notebook

  3. OTTO-E-commerce-Customer-Journey-Analytics-Product-Recommendation OTTO-E-commerce-Customer-Journey-Analytics-Product-Recommendation Public

    Customer journey analysis on 41M+ e-commerce events to identify behavioral trends, conversion opportunities, and product interaction patterns. Developed interactive dashboards and a transition-base…

    Jupyter Notebook