Alvaro Daniel Portilla Esquivel
Ouvert aux possibilitésJunior Software Developer | Sports & Data Analytics|Risk & Trading Associate Candidate
Ottawa, ON
À propos
Computer Programming and Analysis graduate currently advancing in Data Science, with hands-on experience in Python, SQL, data analysis, APIs, databases, and Power BI. Analytical and highly curious problem-solver who uses AI-assisted workflows to accelerate research, debugging, learning, and solution development while critically validating results. Passionate about understanding how emerging technologies can solve real business problems, with a growing interest in AI agents, automation, and agentic systems. Adaptable, self-driven, and eager to grow within a technology-focused team.
Compétences
- Agile
- Amazon Web Services
- Communication
- Analyse de données
- Docker
- Anglais
- Français
- Git
- GitHub
- Java
- JavaScript
- Leadership
- Linux
- Apprentissage automatique
- Microsoft Excel
- Microsoft Word
- MongoDB
- MySQL
- Node.js
- Sens de l’organisation
- PostgreSQL
- Power BI
- Python
- React
- API REST
- Espagnol
- Spring Boot
- SQL
- Tableau
- Travail d’équipe
Expérience
Software Development & Database Coursework
Algonquin College
janv. 2023 to janv. 2025
Ottawa, ON
• Completed hands-on programming work involving Java, Python, SQL, relational databases, object-oriented programming, web applications, and software documentation. • Used Git/GitHub and IDEs such as Eclipse, NetBeans, VS Code, and Android Studio to build, test, troubleshoot, and submit technical projects. • Practiced data structures, algorithms, database design, REST/API concepts, troubleshooting, and technical communication through labs and assignments. • Worked with Oracle SQL and database administration concepts including schemas, SQL queries, data dictionary views, performance basics, and backup/recovery lab concepts.
Formation
Algonquin College
Computer Programming Diploma
Ottawa, ON, Canada
Relevant studies: Java, Python, SQL, databases, object-oriented programming, web development, software design patterns, data structures, algorithms, systems analysis, technical documentation.