Jesús - Data Analyst

Experiencia demostrada en Python.

Experiencia demostrada en JavaScript.

Experiencia demostrada en Java.

Experiencia demostrada en C/C++.

Experiencia demostrada en SQL.

Automated data collection and processing workflows by building Python-based ETL pipelines that integrated the YouTube Data API and CSV exports from Instagram and TikTok, reducing repetitive manual data preparation and creating a more consistent analytical workflow.. Improved data reliability by cleaning, transforming, and structuring multi-platform datasets with Python and pandas, ensuring standardized data was available for downstream analysis and reporting.. Developed automated dashboards with Streamlit, Power BI, and Looker Studio, turning processed data into actionable performance metrics and trends for content strategy decisions.

Improved software quality by designing and executing unit and integration tests with JUnit and Mockito, identifying defects before release and increasing confidence in application reliability.. Strengthened code quality by applying SonarQube static analysis, contributing to a reported 40% improvement in test/code-quality coverage.

Developed a backend ticket-management system using Node.js, implementing authentication, authorization, role-based access control, and CRUD operations to provide a structured and maintainable application backend.. Improved application reliability by implementing input validation, business logic, and API testing with Postman, helping ensure consistent behavior across backend endpoints.. Strengthened maintainability by designing database models, ER diagrams, system documentation, and architectural documentation covering requirements, use cases, and application structure.. Supported collaborative development through Git/GitHub, branch management, issue tracking, and Extreme Programming practices including pair programming and continuous feedback.

Improved the performance of a Java-based POS platform by optimizing complex SQL queries, achieving a reported 60% performance improvement and 40% scalability improvement.. Accelerated software delivery by implementing CI/CD pipelines, reducing deployment time by approximately 80%.. Improved defect detection by developing and maintaining unit-test suites with JUnit and JProfiler, identifying approximately 40% of critical bugs during early development.. Supported iterative software development by applying Scrum, Kanban, and XP practices while collaborating on development and delivery processes.. Improved database infrastructure efficiency by implementing Kubernetes-based database cluster management.

Improved the maintainability and scalability of a quotation-based web platform by refactoring its existing codebase and restructuring components, achieving an estimated 60% improvement in code organization and maintainability.. Enhanced the web application's user experience by introducing React components and dynamic animations, extending the platform beyond its original static implementation.. Maintained and improved the application through iterative development, focusing on cleaner code, reusable components, and more reliable web functionality.

Analyzed more than 200,000 records using Python libraries including pandas, SciPy, Seaborn, and Matplotlib, transforming large datasets into structured statistical insights.. Identified statistically significant patterns through descriptive and inferential analysis, including T-tests, Chi-square tests, and Kolmogorov-Smirnov tests.. Delivered data visualizations and analytical reports that translated complex datasets into actionable information for decision-making.