Data Analyst | Python | SQL | Operational Analytics
Data analyst with an engineering background and 14+ years of experience in complex technical environments.
My experience in automotive software exposed me to operational data, system performance metrics, and incident management processes. This experience led me to focus on analyzing technical datasets to identify patterns, detect operational inefficiencies and support data-driven decisions.
Currently building a data analytics portfolio focused on operational analytics and real-world technical datasets.
Aplicación en python con streamlit y corriendo en render para analizar el comportamiento del precio de vehiculos usados en funcion de:
Antiguedad Kilometraje OEM / Fabricante Distribución y dispersión de precios
Tools: Python, Pandas, Pltotly, Streamlit
Repository: https://github.com/adriangilr/Sp07-ADV
Exploratory analysis of incident and support tickets to identify operational bottlenecks and resolution trends.
Tools: Python, Pandas, SQL, Data Visualization
Key insights:
- Resolution times vary significantly depending on severity level.
- Ticket backlog increases during release cycles.
- Certain incident categories show repeated patterns.
• Operational analytics • Incident and ticket analytics • KPI monitoring and performance metrics • Root cause analysis in technical datasets
Open to remote Data Analyst opportunities and data collaborations.
LinkedIn: https://linkedin.com/in/adriangilr