Roberto Busby

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šŸ‘‹ Hi, I'm a Data Analyst with experience in data manipulation, business intelligence, and process automation. I love turning complex data into insights that drive positive change.

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Welcome to My
Data Analytics Portfolio


šŸ‘‡ Learn About My Projects šŸ‘‡

šŸ” Customer Segmentation with Cluster Analysis

R Statistical Analysis ggplot2 K-means clustering
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Employed cluster analysis to segment SkyLink Communications' customer base using data on tenure, service usage, and charges. Key insights include:

  • Global Communicators and Local Loyalists: Longer tenures, ideal for targeted loyalty programs.
  • Emerging Users: Shorter tenures, suitable for introductory offers to enhance retention.
  • Data Enthusiasts: Varied tenures, requiring personalized communication strategies.

šŸ” Exploratory Data Analysis of Hospital Care for Diabetic Patients

MySQL CTEs Data Analysis Healthcare
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Dove into a comprehensive dataset spanning ten years of clinical care for diabetic patients across 130 US hospitals. Key insights include:

  • Most diabetic patients have short hospital stays, typically ranging from 1 to 4 days, highlighting efficient initial treatments but raising questions about follow-up care.
  • Medical specialties such as thoracic and cardiovascular surgery frequently require a higher number of procedures, pointing to areas of resource-intensive care.
  • A direct correlation was identified between the number of laboratory procedures and the length of hospital stays.

šŸ” 2022 World Bank IDA Credits and Grants

SQL Finance Data Manipulation
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Analyzed the World Bank's IDA Statement of Credits and Grants data for 2022. Highlights include:

  • Detected significant financial obligations in several countries, suggesting targeted areas for potential economic assistance.
  • Observed high transaction volumes in specific regions, indicating robust engagement with World Bank development initiatives.
  • Uncovered varying service charge rates, highlighting regional disparities in the cost of financing.

šŸ”— Visualizing NBA Player Stats and Key Takeaways from the 2021-2022 Season

Tableau Data Visualization Exploratory Data Analysis
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Through exploratory visual analysis using Tableau, this project uncovers key insights into NBA player performance and team dynamics during the 2021-2022 season. The analysis provided a deeper understanding of the roles of various positions and their contributions to the game.

  • Explored average 3-point percentages across positions and teams using a heat map.
  • Visualized assists vs. points with bubble charts, highlighting player roles and contributions.
  • Analyzed the top 3 scoring players per team using stacked horizontal bar charts.
  • Showcased top assist leaders by position with a tree map.

šŸ”— A Journey Through Massachusetts Education Metrics

Tableau Data Visualization Dashboards Education
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Analyzed the State of Massachusetts education data. The main focuses were:

  1. What schools are struggling with graduation rates the most?
  2. How does class size affect college admissions?
  3. What districts are excelling in early math?

šŸ”— The Role of Analytics in Food Delivery Success

Excel VLOOKUPS Pivot Tables Charts
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Analyzed over 2,000 rows of customer behavioral marketing data using Google Sheets to effectively evaluate campaign success levels.

šŸ”— Access the spreadsheet here.

šŸ” Google Sheets Airtable Integration

Google Apps Script API Integration Data Management
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This Google Apps Script project seamlessly integrates Airtable data into Google Sheets, enabling users to manage API tokens and settings through a user-friendly interface, simplifying data import processes directly within their spreadsheets.