About
Highly analytical Data Analyst with expertise in Python, SQL, and automation tools, specializing in optimizing data pipelines, cleaning, and transformation. Proven track record in the energy sector, delivering actionable insights through KPI monitoring, cost analysis, and dashboard development that drive efficiency. Eager to leverage strong data-driven decision-making and problem-solving skills to contribute to advanced machine learning and predictive modeling initiatives.
Work
FBC Italia
|Data Analyst
Milan, Lombardy, Italy
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Summary
Led data analysis initiatives in the energy sector, leveraging Python and SQL to optimize costs, monitor consumption, and enhance operational efficiency.
Highlights
Conducted in-depth analysis of complex energy consumption data, identifying key trends and opportunities for cost optimization and efficiency improvements.
Developed and deployed robust Python scripts for automated data cleaning, transformation, and quality control, significantly streamlining analytical workflows.
Designed and implemented interactive dashboards for real-time KPI tracking, cost analysis, and performance monitoring, enhancing data visibility for stakeholders.
Managed end-to-end data integration from diverse sources (Excel, databases, external suppliers) and executed complex SQL queries to validate and extract critical operational datasets.
Collaborated directly with clients to fulfill ad-hoc analytical requests and deliver customized reports, translating complex data into actionable business insights.
FBC Italia
|Project Assistant – Photovoltaic Systems
Milan, Lombardy, Italy
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Summary
Provided essential technical support and managed critical documentation for the design and implementation of photovoltaic systems projects.
Highlights
Provided essential technical support for the design and implementation of photovoltaic systems, contributing to project efficiency and successful delivery.
Managed and maintained comprehensive project documentation, including technical specifications and regulatory compliance records, streamlining information flow for project teams.
Facilitated communication and coordination between design engineers and external stakeholders to ensure timely and accurate documentation for system development.
Education
ProfessionAI
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Professional Master's
Data Science
Courses
Machine Learning
Big Data
Statistics
Python
R
Practical data analysis and predictive modelling projects
Politecnico di Milano
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University Coursework
Energy Engineering
Grade: 150/180 CFUs
Languages
Italian
English
Skills
Programming & Tools
Python, R, SQL, Excel, PowerBI, Tableau.
Data Management
ETL, Data Cleaning, Data Quality Checks, Data Integration.
Data Analysis & Visualization
KPI Tracking, Cost Analysis, Performance Monitoring, Dashboard Development, Customized Reporting, Energy Data Analysis.
Machine Learning & Statistics
Machine Learning, Predictive Modeling, Statistical Analysis, Classification.
Project Support
Technical Support, Documentation Management, Photovoltaic Systems Design.