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ana-nobre/README.md

Global Transformation Leader | Data-Driven Strategy & Team Empowerment

🌍 Welcome! I’m a global transformation and operational excellence leader with 10+ years of experience at Apple, specializing in driving growth, empowering multicultural teams, and scaling business impact across the US, EMEA, and LATAM.


🎯 About Me

  • πŸ”₯ Passionate about combining people-first leadership with data-driven insights to create measurable, lasting business impact.
  • πŸ’‘ MSc in International Business Management (Distinction, University of Birmingham), MBA, and BA in Philology β€” integrating strategic, operational, and cultural perspectives to drive sustainable growth.
  • πŸš€ Proven results:
    • +27% service availability in Spain through operational redesign and labor negotiation.
    • +22% B2B revenue growth in Mexico by leading strategic initiatives and talent development.
    • Regional rollouts (e.g., Today@Apple in Brazil), and cross-border CSR programs enhancing employee engagement and retention (Brazil and Mexico).

πŸ’» Technical Skills

  • Python: NumPy, Pandas, Matplotlib, Seaborn, BeautifulSoup, Selenium.
  • SQL/MySQL: schema design, advanced queries, optimization.
  • ETL & Automation: Apache Airflow.
  • Data Visualization: Tableau, Power BI.
  • Development Tools: Git, GitHub, VS Code, Anaconda, CLI, Jupyter.
  • Methodologies: Agile/Scrum, Kaizen, Six Sigma.

Currently expanding my technical expertise through a Data Analysis Bootcamp at Adalab, focusing on integrating analytics and automation into global business strategy.


🀝 Leadership Approach

  • Led and developed multicultural teams of 120+ professionals across the US, EMEA, and LATAM.
  • Skilled in motivating cross-functional and cross-cultural teams (both technical and non-technical) to deliver high-impact results.
  • Experienced in aligning talent development with business strategy, fostering inclusive and high-performance cultures.
  • Strong track record in workforce analytics, organizational transformation, and leadership coaching frameworks.
  • Passionate about empowering people, promoting diversity, and driving measurable business growth through operational excellence.

🌐 Languages

  • English πŸ‡¬πŸ‡§
  • Spanish πŸ‡ͺπŸ‡Έ
  • Portuguese πŸ‡§πŸ‡·
  • Intermediate French πŸ‡«πŸ‡·

πŸš€ Let’s Connect

  • πŸ’Ό LinkedIn
  • πŸ’Œ Feel free to reach out if you'd like to collaborate on data-driven projects or discuss global leadership and transformation.

Pinned Loading

  1. Talent-Optimization-for-Corporation-HR-Data-Analytics Talent-Optimization-for-Corporation-HR-Data-Analytics Public

    Forked from CarmenBdeF/proyecto-da-promo-56-modulo-3-team-2

    Python and SQL for HR data cleaning, EDA, and visualization β€” producing an HRIS-style consulting report with KPIs and recommendations.

    Jupyter Notebook

  2. Portfolio-Tableau-and-Power-BI-Friends-Audience-Impact Portfolio-Tableau-and-Power-BI-Friends-Audience-Impact Public

    Power BI and Tableau applied to the Friends TV show dataset β€” interactive dashboards highlighting audience impact, data storytelling, and visualization.

  3. SQL-Advanced-Queries-Ana-Nobre SQL-Advanced-Queries-Ana-Nobre Public

    Forked from Adalab/bda-modulo-2-evaluacion-final-ana-nobre

    SQL Advanced Queries β€” demonstrating subqueries, JOIN optimization, CTEs, REGEXP, and aggregation, with clean, modular SQL and in-line comments for clear technical reasoning.

  4. Data-Transformation-and-Analysis-Ana-Nobre Data-Transformation-and-Analysis-Ana-Nobre Public

    Forked from Adalab/bda-modulo-3-evaluacion-final-ana-nobre

    Python data analysis on airline loyalty program customers β€” data cleaning, EDA, visualization, and statistical insights.

    Jupyter Notebook

  5. Data-Driven-Insights-for-Multinationals-Global-CO2-Emissions Data-Driven-Insights-for-Multinationals-Global-CO2-Emissions Public

    Forked from BiancaGemarR/promo56_proyecto_Mod4_Team2

    Python, Tableau, and Power BI delivering executive dashboards, ETL, and agile project management for data-driven insights on global COβ‚‚ emissions.

    Jupyter Notebook