Information Systems Engineering student with a strong foundation in full-stack development and data analysis. Experienced in developing scalable web applications and conducting comprehensive data analysis. Proven track record of leading technical projects and implementing innovative solutions using modern technologies and best practices.

const technicalSkills = {
    backend: {
        languages: ["Python", "Java", "C++", "C#"],
        frameworks: ["Spring Boot", "Spring Framework"],
        apis: ["RESTful Architecture", "JWT Authentication"]
    },
    frontend: {
        languages: ["JavaScript", "TypeScript", "HTML", "CSS"],
        frameworks: ["Angular"],
        tools: ["Visual Studio Code", "IntelliJ IDEA"]
    },
    dataAnalysis: {
        python: ["Pandas", "NumPy", "Matplotlib", "Seaborn"],
        databases: ["PostgreSQL", "MongoDB", "SQL"],
        visualization: ["PowerBI", "Matplotlib"]
    },
    cloudComputing: {
        knowledge: ["Cloud Architecture", "Distributed Systems"],
        practices: ["Microservices", "API Integration"]
    }
};

• Technology Stack: Spring Boot, Angular, PostgreSQL
• Key Achievements:
  • Architected and implemented a scalable RESTful API system
  • Developed secure user authentication using JWT
  • Created responsive frontend interface with Angular
  • Implemented complex business logic for scheduling and resource management
• Impact: Streamlined operations for driving schools, improving efficiency by automating manual processes

• Tools: Python, Pandas, NumPy, Matplotlib
• Scope:
  • Analyzed user behavior patterns across different cities
  • Conducted statistical hypothesis testing
  • Generated actionable insights for business strategy
• Methodology:
  • Data cleaning and preprocessing
  • Statistical analysis
  • Visualization and reporting

• Technologies: Python, Jupyter Notebook, Data Analysis Libraries
• Key Deliverables:
  • Customer segmentation analysis
  • Purchase pattern identification
  • Temporal analysis of shopping behaviors
• Business Impact: Provided actionable insights for marketing strategy and inventory management

• Tools: Python (Pandas, NumPy, Matplotlib, Seaborn)
• Analysis Areas:
  • Historical sales data analysis
  • Platform performance comparison
  • Genre popularity trends
  • ESRB rating impact on sales
• Outcomes: Identified key success factors for game releases and marketing campaigns

• Technologies: SQL, MongoDB
• Leadership Role:
  • Led team of developers in design and implementation
  • Architected hybrid database solution
  • Managed project timeline and deliverables
• Technical Highlights:
  • Implemented both relational and non-relational database structures
  • Designed scalable data models
  • Created efficient query optimization strategies

Universidad Peruana de Ciencias Aplicadas (UPC)

• Information Systems Engineering (2022-Present)
• Key Coursework:
  • Object-Oriented Programming
  • Database Design
  • Mobile Technologies
  • Application Architecture
  • Computational Mathematics
  • Computer Architecture and Operating Systems

Universidad Católica San Pablo (UCSP)

• Computer Science (2018-2022)
• Relevant Coursework:
  • Video Game Programming
  • Computer Architecture
  • Abstract Algebra (RSA Cryptography)
  • Platform-Based Development

1. Machine Learning with Python - IBM (2024)

   • Focus on predictive modeling and analysis
   • Practical implementation of ML algorithms

2. Python for Data Science, AI & Development - IBM (2024)

   • Advanced Python programming techniques
   • AI and data science applications

3. Databases and SQL for Data Science - IBM (2024)

   • Advanced SQL query optimization
   • Database management with Python integration

1. Security Risk Management - Google (2023)

   • Risk assessment methodologies
   • Security mitigation strategies

2. Business Analytics with Excel - Johns Hopkins University (2024)

   • Advanced analysis techniques
   • Business intelligence reporting

• Advanced Machine Learning Algorithms
• Cloud Architecture and Microservices
• Data Engineering Best Practices
• Full-Stack Application Security

• Spanish (Native)
• English (Intermediate/Advanced)