I'm a Data Analyst specialized in Data Workflows, Automation, and Demand Planning. I design data pipelines, analytical tools, and decision-support systems that connect business operations with reliable, actionable data. My work sits at the intersection of analytics, automation, and business impact.
Analytics for Operations & Demand Planning
Development of analytical tools that support inventory planning, forecasting follow-up, product performance tracking, and commercial decision-making.
Process Automation
Automation of manual business processes using Python-based tools that reduce operational workload and improve decision speed.
Data Pipelines & ETL
Design of reproducible ETL processes in Python and SQL to move operational data into structured environments (DWH), including validation layers, logging, and parameterization.
Data Quality & Structuring
Cleaning, classification, and restructuring of core business datasets (products, customers, sales), improving signal quality for analytics and forecasting.
Business-Focused Solutions
Translation of operational problems into technical solutions with measurable impact (efficiency, sales performance, stock availability).
Python Data & Machine Learning Ecosystem
Although most of my work is in private corporate repositories, my recent projects include:
• Automation tools for operational decision-making (inventory movement planning, commercial factor adjustments)
• ETL pipelines for forecast integration into Data Warehouse environments
• Product catalog restructuring to improve analytical signal and reduce stock-out distortion
• Recovery and optimization of large-scale web scraping processes
• Data governance and version control implementation for analytics development environments
Case studies and technical breakdowns available upon request.
Focused on building reliable data systems that create measurable business impact.

