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hieuphan6807/README.md

PHAN TRUNG HIEU

🎯 Data Analyst | SQL | Excel | Power BI | Python|

📍 HCM city |📧 phantrunghieu260797@gmail.com

😄 About Me:

🔍 What I Do

  • Transform messy data into meaningful stories
  • Build dashboards that actually answer questions
  • Explore patterns, test assumptions, và tối ưu hóa quyết định bằng dữ liệu

🛠️ Tools & Skills

1. Languages & Querying

  • SQL (BigQuery, GGcolab, SQL Server)
  • Python (pandas, numpy, seaborn,...)

2. Data Viz & BI

  • Power BI
  • Excel nâng cao

3. Analytics

  • Exploratory Data Analysis (EDA)
  • Data cleaning & wrangling
  • Problem-solving & business insight development

📚 Learning & Growth

  • Data storytelling
  • Dashboard design
  • real-world insight analysis

📂Featured Projects:

1️⃣ SQL: https://github.com/hieuphan6807/Adventure-work-2019

2️⃣ SQL: https://github.com/hieuphan6807/Ecommerce-Cohort-Analysis

3️⃣ Power BI: https://github.com/hieuphan6807/Ecommerce_Analyze

4️⃣ Power BI: https://github.com/hieuphan6807/Marketing-Campaign

5️⃣ Python: https://github.com/hieuphan6807/RFM-analysis

6️⃣ Python: https://github.com/hieuphan6807/E-Wallet-Payments-Transactions-Analytics

7️⃣ Python: https://github.com/hieuphan6807/Churned_Users

🎓 Education & Certifications:

Education: University: University of Economics HCM City | 2020 - 2024 Major: E-commerce GPA: 3.57/4

Certification: HackerRank: SQL Certificate (Advanced) Datacamp: SQL Courses, Power BI courses, Python courses

Pinned Loading

  1. RFM-analysis RFM-analysis Public

    Sử dụng Python để phân khúc Khách Hàng

    Jupyter Notebook 1

  2. E-Wallet-Payments-Transactions-Analytics E-Wallet-Payments-Transactions-Analytics Public

    Muốn hiểu về tình trạng payment hoặc transaction trong context của một ewallet.

    1

  3. Ecommerce_Analyze Ecommerce_Analyze Public

    1

  4. Ecommerce-Cohort-Analysis Ecommerce-Cohort-Analysis Public

    1

  5. Adventure-work-2019 Adventure-work-2019 Public

    1

  6. Churned_Users Churned_Users Public

    Một công ty thương mại điện tử có một dự án dự đoán người dùng rời bỏ (churned users) nhằm đưa ra các chương trình khuyến mãi tiềm năng.

    Jupyter Notebook 1