ITACADEMYprojectes/ProjecteData
Feb 2025 – Mar 2025
2 Months active
Languages Used
Jupyter NotebookPythonSQLCSV
Technical Skills
Data AnalysisData CleaningJupyter NotebookMatplotlibNumPyOutlier Detection
Ivan Betriu
PROFILE
Ivan Betriu
Ivan Betriu developed robust data analytics pipelines for the ITACADEMYprojectes/ProjecteData repository, focusing on improving the quality and reliability of tourist accommodation datasets. He implemented data cleaning and exploratory analysis workflows using Python, Pandas, and Jupyter Notebook, addressing issues such as missing values, duplicates, and outlier detection to ensure trustworthy analytics. Ivan enhanced exploratory data analysis notebooks, introduced statistical methods like ANOVA for regional demand trends, and established database-backed data preparation processes. His work enabled reproducible, actionable insights for occupancy and inventory planning, while maintaining repository discipline through clear commit practices and resolving technical issues in collaborative environments.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
5
Lines of code
8,315
Activity Months2
Your Network
36 people
Work History
March 2025
9 Commits • 3 Features
Mar 1, 2025March 2025 Monthly Summary for ITACADEMYprojectes/ProjecteData: Delivered robust data cleaning and exploratory analytics pipelines for Tourist Accommodation data, enhanced inventory and accommodation EDA notebooks, and introduced statistical methods for regional demand trends. Maintained notebook reliability by resolving merge conflicts and FutureWarnings. Focused on business value through improved data quality, reproducibility, and actionable insights for occupancy and inventory planning.
9 Commits • 3 Features
Mar 1, 2025March 2025 Monthly Summary for ITACADEMYprojectes/ProjecteData: Delivered robust data cleaning and exploratory analytics pipelines for Tourist Accommodation data, enhanced inventory and accommodation EDA notebooks, and introduced statistical methods for regional demand trends. Maintained notebook reliability by resolving merge conflicts and FutureWarnings. Focused on business value through improved data quality, reproducibility, and actionable insights for occupancy and inventory planning.
March 2025
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for ITACADEMYprojectes/ProjecteData. Delivered data quality improvements and analytics readiness for the accommodation dataset, enabling more reliable availability and reviews insights. Created initial project scaffolding for Equip_E to anchor future documentation and data assets. This work strengthens the data-driven foundation for pricing, occupancy, and guest experience decisions.
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for ITACADEMYprojectes/ProjecteData. Delivered data quality improvements and analytics readiness for the accommodation dataset, enabling more reliable availability and reviews insights. Created initial project scaffolding for Equip_E to anchor future documentation and data assets. This work strengthens the data-driven foundation for pricing, occupancy, and guest experience decisions.
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.4%
Performance70.0%
AI Usage23.4%
Skills & Technologies
Programming Languages
CSVJupyter NotebookPythonSQL
Technical Skills
Data AnalysisData CleaningData ExplorationData PreparationData VisualizationDatabase ConnectionDatabase ManagementExploratory Data AnalysisExploratory Data Analysis (EDA)Jupyter NotebookMatplotlibMySQLNumPyOutlier DetectionPandas
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline