V

Virginia Bettini

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Barcelona, Spain

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Résumé

Jobs verified_user 0% verified
  • Lodgify
    Data Analyst Intern
    Lodgify
    Dec 2024 - Current (1 year 8 months)
    Designed a KPI data strategy using advanced SQL segmentations enriched with seasonality and growth factors. Delivered Tableau dashboards for financial decision-making. Built a Python forecasting model using seasonality and growth factors to replace historical-average projections, implementing it in dbt (SQL) and updating Tableau dashboards to expose accurate KPI forecasts. Designed modular dbt models with granular booking/rental data and standardized room attributes, version-controlled in GitHub to ensure reliable data pipelines and analytics. Created a Tableau onboarding dashboard with booking, revenue, and occupancy KPIs to support data-driven onboarding and operational decisions. Improved Tableau dashboards for finance and marketing to e
  • O
    Technical Consultant
    OENB National Bank of Austria
    Jan 2024 - Jun 2024 (6 months)
    Built an NLP-driven product classification pipeline for mapping Foodora items to Austrian CPI categories, leveraging RegEx patterning and text processing to automate and scale a previously manual process. Built and deployed the pipeline in Python on Amazon SageMaker, achieving precision and recall on a stratified sample and ensuring high-quality inputs for inflation analysis, demonstrating strong analytical rigor, adaptability, and focus on data quality.
Education verified_user 0% verified
  • IESEG School of Management
    Master Degree in Big Data Analytics
    IESEG School of Management
    Aug 2023 - Nov 2025 (2 years 4 months)
  • Università Degli Studi Di Torino
    Bachelor Degree in Economics
    Università Degli Studi Di Torino
    Sep 2019 - Sep 2023 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • S
    Statistical & ML Benchmarking Project (Kaggle In-Class)
    Apr 2024 - May 2024 (2 months)
    Built a full predictive pipeline with data cleaning, feature engineering, and model training in Python/R for a Kaggle in-class challenge. Benchmarked multiple ML models using cross-validation and tuning, evaluated performance with key metrics, and delivered results in clear, reproducible notebooks and a concise presentation.
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    Predictive Modeling for Fundraising Campaigns (Customer Re-activation)
    Nov 2023 - Dec 2023 (2 months)
    Built a scoring model to prioritize inactive customers for direct-mail campaigns, integrating customer, transaction, and campaign data with RFM and behavioral features. Evaluated classification models (AUC, lift, cumulative response) and delivered a scored customer list with ROI-focused targeting recommendations to improve campaign efficiency.
  • A
    Analyzing Sales Performance for Carrefour Myanmar
    Sep 2023 - Oct 2025 (2 years 2 months)
    Analyzed sales performance in Excel, combining store-level KPIs with global COVID-19 metrics to generate strategic insights. Built interactive Excel dashboards from cleaned, structured and analyzed large dataset highlighting sales trends and operational KPIs to improve optimization and guide marketing strategies.