nh-spipitone/DataAnalyst-course
Jun 2025 – Jul 2025
2 Months active
Languages Used
PythonCSVExcelJupyter NotebookSQL
Technical Skills
Basic ProgrammingBasic Python ProgrammingBasic ScriptingBeginner ProgrammingCommand-Line InterfaceConditional Logic
M4raPi
PROFILE
M4rapi
Over two months, Marco Ratundo developed and enhanced practical data analysis modules within the nh-spipitone/DataAnalyst-course repository, focusing on scalable, maintainable solutions for learning and analytics. He built interactive Python applications for tasks like student grading, library management, and sales analysis, leveraging Pandas for data manipulation and SQL for reporting. His work included refactoring code for readability, automating data pipelines, and implementing visualization scripts using Matplotlib and Seaborn. By addressing data ingestion reliability and introducing machine learning models for regression tasks, Marco demonstrated a solid grasp of data engineering and automation, delivering reusable components that support both education and business insights.
Overall Statistics
Feature vs Bugs
90%Features
Repository Contributions
44Total
Bugs
3
Commits
44
Features
28
Lines of code
14,902
Activity Months2
Your Network
12 people
Work History
July 2025
27 Commits • 21 Features
Jul 1, 2025July 2025 contributions across the nh-spipitone/DataAnalyst-course repository focused on stabilizing data pipelines, delivering analytics capabilities, and enabling data-driven insights. Key activities included code refactors for readability and performance, data model enhancements, and the introduction of automated analytics and visualization scripts. Deliverables span data ingestion reliability, SQL-driven monthly reporting, and a broad set of data analysis exercises and automation scaffolds, underpinning scalable analytics and business insight generation.
27 Commits • 21 Features
Jul 1, 2025July 2025 contributions across the nh-spipitone/DataAnalyst-course repository focused on stabilizing data pipelines, delivering analytics capabilities, and enabling data-driven insights. Key activities included code refactors for readability and performance, data model enhancements, and the introduction of automated analytics and visualization scripts. Deliverables span data ingestion reliability, SQL-driven monthly reporting, and a broad set of data analysis exercises and automation scaffolds, underpinning scalable analytics and business insight generation.
July 2025
June 2025
17 Commits • 7 Features
Jun 1, 2025June 2025 monthly summary for nh-spipitone/DataAnalyst-course focused on delivering practical, reusable learning modules and improving repository maintainability. Highlights include foundational Studenti scaffolding, enhanced student input utilities, interactive FizzBuzz capabilities, and a suite of hands-on projects (Grocery list, phonebook, library management) powered by Python fundamentals, Pandas data analysis, and OO design. Cleanup work reduced technical debt and prepared the ground for scalable, future-ready coursework.
June 2025
17 Commits • 7 Features
Jun 1, 2025June 2025 monthly summary for nh-spipitone/DataAnalyst-course focused on delivering practical, reusable learning modules and improving repository maintainability. Highlights include foundational Studenti scaffolding, enhanced student input utilities, interactive FizzBuzz capabilities, and a suite of hands-on projects (Grocery list, phonebook, library management) powered by Python fundamentals, Pandas data analysis, and OO design. Cleanup work reduced technical debt and prepared the ground for scalable, future-ready coursework.
Activity
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Quality Metrics
Correctness88.4%
Maintainability87.8%
Architecture81.8%
Performance82.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVExcelJupyter NotebookPythonSQL
Technical Skills
AutomationBasic ProgrammingBasic Python ProgrammingBasic ScriptingBeginner ProgrammingCode OrganizationCommand-Line InterfaceConditional LogicData AnalysisData EngineeringData ExtractionData HandlingData ManagementData ManipulationData Preprocessing
Repositories Contributed To
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