nh-spipitone/DataAnalyst-course
Jun 2025 – Jul 2025
2 Months active
Languages Used
Git IgnorePythonCSVSQL
Technical Skills
Basic AlgorithmsBasic ArithmeticBasic ProgrammingBasic Python ProgrammingBasic ScriptingCommand-Line Interface Development
nickg
PROFILE
Nickg
Nick Gibra developed a suite of data analysis and management tools in the nh-spipitone/DataAnalyst-course repository over two months, focusing on practical, educational workflows. He built command-line systems for student and library management, implemented object-oriented programming concepts, and delivered analytics pipelines for sales and order data. Using Python, Pandas, and SQL, Nick created reusable templates, data cleaning utilities, and visualization scripts to accelerate onboarding and support repeatable analyses. His work emphasized repository hygiene, onboarding readiness, and cross-domain analytics, resulting in a scalable foundation for data-driven projects. The solutions addressed data quality, reproducibility, and streamlined analytics across multiple domains.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
30Total
Bugs
0
Commits
30
Features
10
Lines of code
3,556
Activity Months2
Your Network
12 people
Work History
July 2025
10 Commits • 3 Features
Jul 1, 2025July 2025: Delivered three core analytics assets in nh-spipitone/DataAnalyst-course that broaden data-informed decision making. The Sales and Orders Analytics Suite provides revenue analytics (total revenue, per-customer revenue), best-selling products, daily revenue visualizations, and category-level expenses, with accompanying data manipulations and fixes to ensure accurate revenue calculations and consistent file naming. The Data Analysis Templates and Sample Datasets deliver ready-to-use templates and datasets (e.g., Google Play Store, Titanic) to accelerate exploratory analysis and teaching. The Data Science Toolkit and Cross-Domain Analytics introduces a toolkit for SQL database interactions, web scraping, and machine learning demonstrations, including health/biomedical data examples. Major bugs fixed included revenue calculation accuracy and standardized file naming, improving reliability and reproducibility. Overall, the work reduces analysis cycle time, standardizes templates, and expands cross-domain analytics capabilities, delivering clear business value and strengthening skills in SQL, Python scripting, data visualization, and data engineering practices.
10 Commits • 3 Features
Jul 1, 2025July 2025: Delivered three core analytics assets in nh-spipitone/DataAnalyst-course that broaden data-informed decision making. The Sales and Orders Analytics Suite provides revenue analytics (total revenue, per-customer revenue), best-selling products, daily revenue visualizations, and category-level expenses, with accompanying data manipulations and fixes to ensure accurate revenue calculations and consistent file naming. The Data Analysis Templates and Sample Datasets deliver ready-to-use templates and datasets (e.g., Google Play Store, Titanic) to accelerate exploratory analysis and teaching. The Data Science Toolkit and Cross-Domain Analytics introduces a toolkit for SQL database interactions, web scraping, and machine learning demonstrations, including health/biomedical data examples. Major bugs fixed included revenue calculation accuracy and standardized file naming, improving reliability and reproducibility. Overall, the work reduces analysis cycle time, standardizes templates, and expands cross-domain analytics capabilities, delivering clear business value and strengthening skills in SQL, Python scripting, data visualization, and data engineering practices.
July 2025
June 2025
20 Commits • 7 Features
Jun 1, 2025June 2025 monthly summary for nh-spipitone/DataAnalyst-course focusing on establishing a solid foundation, scalable feature delivery, and practical data tooling across the repository. The month prioritized repository hygiene, onboarding readiness, and a mix of CLI and data-analysis capabilities, setting the stage for ongoing product development and educational workflows.
June 2025
20 Commits • 7 Features
Jun 1, 2025June 2025 monthly summary for nh-spipitone/DataAnalyst-course focusing on establishing a solid foundation, scalable feature delivery, and practical data tooling across the repository. The month prioritized repository hygiene, onboarding readiness, and a mix of CLI and data-analysis capabilities, setting the stage for ongoing product development and educational workflows.
Activity
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Quality Metrics
Correctness84.4%
Maintainability84.0%
Architecture75.8%
Performance80.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVGit IgnorePythonSQL
Technical Skills
Basic AlgorithmsBasic ArithmeticBasic ProgrammingBasic Python ProgrammingBasic ScriptingCommand-Line Interface DevelopmentConditional LogicConditional StatementsControl FlowData AnalysisData CleaningData StructuresData VisualizationDatabase ManagementDictionary
Repositories Contributed To
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