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kwakusei1m-tech/README.md

👋 Hi, I'm Patrick Adu Osei

💼 Data Analyst | SQL | Python | Excel | Dashboarding

I am a data analyst with hands-on experience transforming raw data into actionable business insights.

I specialise in:

  • SQL-based data analysis
  • Python (Pandas, Seaborn) for data exploration
  • Excel and dashboarding for reporting
  • Business-focused data storytelling

📊 My Portfolio Projects

🔹 1. Stack Overflow Survey Analytics

  • Built dashboards analysing technology trends and developer demographics
  • Extracted insights on current and future technology usage

👉 View project:
🔗 https://github.com/kwakusei1m-tech/stack-overflow-survey-analysis

🔹 2. E-commerce Sales Analysis (SQL + Excel)

  • Analysed product performance, customer value, and regional sales
  • Identified top revenue drivers and business insights

👉 View project:
🔗 https://github.com/kwakusei1m-tech/ecommerce-sales-analysis

🔹 3. Customer Churn Analysis (Python + Jupyter)

  • Analysed customer behaviour to identify churn drivers
  • Built visualisations to highlight revenue risk and retention opportunities

👉 View project:
🔗 https://github.com/kwakusei1m-tech/customer-churn-analysis

🧠 Key Skills

  • SQL (Data querying & aggregation)
  • Python (Pandas, NumPy, Seaborn, Matplotlib)
  • Data Cleaning & Transformation
  • Exploratory Data Analysis (EDA)
  • Dashboarding & Data Visualisation
  • Business Insight Generation

📈 What I Do

I help organisations:

  • Understand their data
  • Identify patterns and trends
  • Make data-driven decisions

🌍 Open to Opportunities

I am currently open to:

  • Remote Data Analyst roles
  • Entry-level / Junior Data Analyst positions
  • Freelance data analysis projects

📬 Let's Connect

⭐ Feel free to explore my projects — feedback is always welcome!

Pinned Loading

  1. stack-overflow-survey-analysis stack-overflow-survey-analysis Public

    End-to-end data analytics project analysing Stack Overflow Developer Survey using Excel, SQL, Python, and Cognos Analytics to uncover technology trends and insights.

  2. customer-churn-analysis customer-churn-analysis Public

    End-to-end Python analytics project analysing customer churn behaviour to identify key drivers of attrition and revenue risk, with actionable insights for improving retention and business performance.

    Jupyter Notebook

  3. ecommerce-sales-analysis ecommerce-sales-analysis Public

    SQL-based sales analysis project using the Sample Superstore dataset to uncover product, customer, regional, and monthly revenue trends through SQLite and Excel visualisations.