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dougieboat/README.md

Hi there , I'm Douglas Boateng

Data analyst skilled in Microsoft Excel, Google Sheets, Power BI, Tableau, SQL, and Python, with a focus on transforming data into meaningful insights that drive decisions.

Skills include:

  • Gathering and consolidating data from multiple sources
  • Assessing, cleaning, and preparing datasets for analysis
  • Building and managing data models
  • Performing in-depth data analysis and creating visualizations
  • Writing reports and clearly communicating insights

🌐 Socials

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Tools 👨‍💻

  • SQL (PostgreSQL, MySQL)
  • Microsoft Excel
  • Google Sheets
  • Power BI
  • Tableau
  • Python (Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn)
MySQL  PostgreSQL  Excel  Google Sheets  Power BI  Python  NumPy  Pandas  Matplotlib  Scikit-learn

Featured Projects

Project Tools Description
Auto Insurance Claim Prediction
  • Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn)
  • Jupyter Notebook
  • Streamlit
  • Power BI
This project focused on developing predictive analytics to identify customers likely to submit a claim within the first three months, uncover customer insights, and propose strategies to boost profitability and efficiency.
South American Celebrities
  • MySQL
  • Power BI
An in-depth analytical report on South American celebrities, focusing on singers and actors. Developed using a custom SQL database and visualized in Power BI to uncover insights on net worth, demographics, career success, and social impact.

Activities include:
  • SQL DDL & DML scripting, querying, joins, and aggregations
  • Relational database design
  • Data modeling with fact and dimension tables
  • Data transformation and extraction
  • Power BI reporting and dashboard creation
  • Data storytelling and insight presentation
UK Bank Customers Analysis
  • Power BI
An interactive dashboard built in Power BI providing insights into customer demographics, account balances, regional distribution, and banking behaviour. Designed to help stakeholders identify actionable trends and make informed decisions.

Activities include:
  • Data cleaning and transformation with Power Query Editor
  • Data modeling using star schema
  • Use of relationships and cardinality
  • Slicers and filters for interactivity
  • Visual storytelling with bar, line, column, doughnut, and map charts
  • KPI cards for executive summary insights
Chocolate Bar Ratings Analysis
  • Power BI
Data-driven analysis of expert-rated chocolate bars exploring ratings, cocoa content, origins, and manufacturers to uncover what distinguishes high-quality chocolate. Delivered as a rich Power BI report.

Activities include:
  • Power Query transformations
  • Star schema data modeling
  • Dashboard creation with Power BI
  • DAX measures and KPIs
  • Time-based trend analysis
  • Interactive slicers and decomposition tree visuals
  • Business recommendations and insights

GitHub Stats


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  1. Auto-Insurance-Claim-Predictor Auto-Insurance-Claim-Predictor Public

    Jupyter Notebook 1

  2. South-American-Celebrities South-American-Celebrities Public

    Analytical report on South American celebrities (singers & actors) using SQL and Power BI.

    1 1

  3. UK-Bank-Customers-Analysis UK-Bank-Customers-Analysis Public

    Interactive Power BI dashboard analyzing UK bank customer demographics, balances, and behaviors. Includes data cleaning, transformation, data modeling, and visual storytelling with actionable insig…

    1 1

  4. Chocolate-Bar-Ratings-Report Chocolate-Bar-Ratings-Report Public

    A Power BI project analyzing chocolate bar data from around the world. The project demonstrates skills in Power Query, data modeling, DAX, and data storytelling. It explores how cocoa content, bean…

    1 1