• facundo-zayas

  facundo-zayas
• facundozayas

  facundozayas

Language

• Spanish C2
• English C1
• Portuguese A2
• German A1

Soft skills

• Analytical Thinking
• Business Storytelling
• Leadership
• Adaptability
• Negotiation

Tools

• Power BI
• Excel
• MySQL
• Google Suite
• Excel 
• Power Query (M)
• Excel Macros

Education

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  Bachelor's Degree in Industrial Engineering
  Universidad Nacional de Misiones (Misiones National University) (UNaM)

  APR 2015 – APR 2021

  (GPA 7.5/10)

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Technical Skills

• Data Analysis
• Project Management
• Statistical Analysis
• A/B Testing
• Forecasting
• Reporting Automation

Experience

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  Data Analyst
  Freelancer - Germany

  Apr 2025 – Present

  Data Analysis - A/B Testing - Project Management

  • For a sports club chain in Germany, performed data modeling, ETL pipelines, and performance analysis on national and club-level revenue and costs. Identified underperforming add-on sales and implemented actionable insights that led to a 22% increase in add-on revenue in Berlin (Sep–Oct).
  • For a forestry company in Argentina, created a cost and revenue monitoring dashboard, automating field maintenance calculations and enhancing cost visibility, reducing manual reporting time by 40%.
  • Designed and developed interactive dashboards and automated reports for clients in sports and forestry industries using Power BI, SQL, Excel, and Looker Studio.

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Courses

• Data Science Bootcamp - EducacionIT
  2021
  facundozayas/HR-Headcount-PowerBI

  facundozayas/HR-Headcount-PowerBI
• ai applied to engineering - UNAM
  2023
  facundozayas/Flight-Demand-Forecasting-Covid19-Python

  facundozayas/Flight-Demand-Forecasting-Covid19-Python
• Advanced SQL - Kaggle
  2025
  facundozayas/SQL-Portfolio-it-salary-analysis

  facundozayas/SQL-Portfolio-it-salary-analysis

Experience

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  Operations Data Analyst
  Aerolineas Argentinas - Buenos Aires, Argentina

  Aug 2022 – Apr 2025

  Data Analysis - Negotiation - Project Management

  • Performed data cleaning and transformation using SQL and Power Query to model operational constraints (resources, timing, capacity). Improved schedule optimization and reduced hub slot requirements from 34 to 30 improving optimization efficiency by 12%.  
  • Analyzed large-scale operational and market data (DDS and OAG) to identify market trends and competitor behavior, providing insights that supported scheduling strategies in highly regulated industries and enhanced the passenger experience.
  • Boosted narrow-body fleet utilization by 5% YoY through >

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  Process Improvement Analyst - Young Professional Program
  Aerolineas Argentinas - Buenos Aires, Argentina

  Sep 2021 – Aug 2022

  Data Analysis - Forecasting - Leadership

  • Conducted >

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