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Tonminhvan1912/README.md

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Hi there 👋 I'm Ton Minh Van

Data Analyst


Seeking a challenging Data Analyst position in a dynamic organization to leverage my skills in data mining, statistical modeling, and data visualization for insightful decision-making. Proficient in SQL, Power BI, Python, Excel, I enjoy uncovering patterns that tell compelling stories. My journey includes working with diverse datasets and employing machine learning techniques to enhance decision-making processes.

Feel free to connect with me as I explore the fascinating world of data!

💻 SKILL

SQL: MySQL, Google BigQuery, SQL Server Management Studio

Power BI: DAX, Power Query, Data Modeling

Python: Pandas, NumPy, MatPlotLib, Seaborn

Machine Learning: Unsupervised Learning & Supervised Learning with Scikit-learn

MY PROJECT 👇👇👇

Popular repositories Loading

  1. SQL-Unraveling-E-commerce-Insights SQL-Unraveling-E-commerce-Insights Public

    Performed an analysis of e-commerce data utilizing SQL on Google BigQuery, extracting actionable insights to guide strategic business decisions.

  2. Tonminhvan1912 Tonminhvan1912 Public

  3. SQL-Explore-Bicycle-Manufacturer-Dataset SQL-Explore-Bicycle-Manufacturer-Dataset Public

    Conducted an in-depth analysis of the Bicycle Manufacturer dataset using SQL on Google BigQuery to uncover insights that guide business strategies.

  4. Power-BI-Superstore-Sales-Performance-and-Strategic-Expansion Power-BI-Superstore-Sales-Performance-and-Strategic-Expansion Public

    Developed a comprehensive Power BI dashboard to provide senior management with critical business insights for market expansion strategies and strategic product selection.

  5. Python-RFM-Analysis-Driving-Customer-Retention-Strategies Python-RFM-Analysis-Driving-Customer-Retention-Strategies Public

    Conducted exploratory data (EDA) analysis using Python in Google Colab to uncover patterns and insights from dataset. Implemented RFM (Recency, Frequency, Monetary) analysis to identify distinct cu…

    Jupyter Notebook

  6. Machine-Learning-AB-Testing-for-Customer-Conversion-Rates-on-E-commerce-Platforms Machine-Learning-AB-Testing-for-Customer-Conversion-Rates-on-E-commerce-Platforms Public

    Designed and executed an A/B testing experiment to evaluate the impact of promotional banner content on subscription conversion rates among whitelist customers.

    Jupyter Notebook