Become a sponsor to Pablo Alonso García
### Skills
Data Analysis: Proficient in analyzing large datasets, identifying trends, and extracting actionable insights.
Programming Languages: Advanced proficiency in Python for data manipulation, statistical analysis, and backend development.
Backend Development: Strong skills in building scalable and efficient backend systems using frameworks like Django.
Database Management: Experienced in designing, querying, and optimizing relational databases (e.g., PostgreSQL, MySQL).
Data Visualization: Proficient in creating compelling visualizations using tools like Matplotlib, Seaborn, and Plotly.
Version Control: Proficient in Git for version control and collaboration on projects.
Software Engineering: Strong understanding of software development principles and best practices.
Problem Solving: Adept at identifying problems, formulating creative solutions, and implementing effective strategies.
Communication: Excellent written and verbal communication skills with a proven ability to convey complex technical concepts to diverse audiences.
### Experience
Associate Professor | University of Oviedo, Spain
2005 - currently
Computer Science and Telecom Engineering Masters Degree Professor
Networks/Automation/Backend Engineer | Vodafone Group
1998 - currently
Designed and developed RESTful APIs for accessing and manipulating data from multiple sources.
Implemented authentication and authorization mechanisms to secure backend services and APIs.
Optimized database queries and indexing strategies to improve performance and scalability.
Integrated third-party services and APIs to enhance system functionality and interoperability.
Worked closely with frontend developers to design API endpoints and ensure seamless integration between frontend and backend systems.
Conduct exploratory data analysis to identify patterns, trends, and outliers in large datasets.
Develop predictive models and algorithms to forecast key business metrics and improve decision-making processes.
Create interactive dashboards and reports to visualize insights and communicate findings to stakeholders.
Collaborate with cross-functional teams to define project requirements and develop data-driven solutions.
Implement data quality checks and validation procedures to ensure accuracy and reliability of analytical results.
### Education
Telecom Engineering PhD
University of Valladolid, Spain
1998
$5 a month
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