I’m a Data Analyst with a background in Economics and a strong technical skill set developed through self-study and hands-on project work. In my current role, I focus on solving problems using Python and Excel—developing automations, transforming data, and delivering reports that support decision-making and operational efficiency.

My work sits at the intersection of analytics, automation, and business needs. I regularly build tools and scripts that streamline internal workflows and optimize how data is collected, processed, and used. Some of the solutions I’ve built include:

• Automating the extraction of key data both from PDF and Excel invoices and converting it into structured Excel files that integrate seamlessly with internal systems
• Transforming billing data into Excel, CSV, and TXT formats for clients to process payments efficiently
• Creating automated energy consumption reports by pulling and formatting data from external data collectors
• Designing scripts to rename invoices based on key identifiers and extract relevant metadata like invoice date, utility, and company details

Tools I use the most:
Python (primarily in VS Code), Excel, and internal data tracking and validation systems.

Key Skills & Highlights

• Bachelor’s degree in Economics
• Daily use of Python for data analytics, reporting, and automation
• Experience building custom data pipelines and transformation tools
• Strong attention to detail and accuracy in working with data
• Passionate about practical problem-solving and process optimization