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mingolladaniele/README.md

Hi, I'm Daniele 👋

Data Scientist at Glovo - one of Europe's fastest-growing tech companies pioneering quick-commerce in 25 countries. Currently leading ML initiatives in the promotions team, building personalization systems to optimize user experience and business value at scale.

I've worked at some of Europe's top tech companies - from optimizing warehouse operations at Amazon to developing game systems at SocialPoint (Take-Two Interactive) to driving ML initiatives at Glovo. Holding an MSc in Data Science and BSc in Computer Science, I combine strong technical skills with business impact.

🎯 Impact Highlights

  • Deployed ML recommendation systems driving €4M projected annual GMV impact
  • Applied causal inference to validate discount policy impact, detecting a 99.6% fraud reduction without revenue degradation
  • Developed temporal graph neural networks at Amazon to model 1,000+ warehouse dependencies
  • Automated game balancing for Top Troops using genetic algorithms

💡 What I Do

I transform complex business problems into scalable ML solutions:

  • ML Systems & Deployment: Build and scale production ML systems
  • Experimentation: Design and analyze A/B tests end-to-end, from power analysis to stakeholder communication
  • Deep Learning & AI: Implement neural networks for complex tasks like temporal predictions
  • Causal Inference: Apply statistical rigor to validate business decisions and measure true impact

Always up for interesting challenges!

LinkedIn | Email

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  1. kindlegpt-notesenhancer kindlegpt-notesenhancer Public

    A Python script that automates the extraction, enhancement, and storage of Kindle book notes in Obsidian via Google Drive, streamlining the note-taking process for Kindle users.

    Python 12

  2. smart_chatbot_amazon_review smart_chatbot_amazon_review Public

    A chatbot web app to analyze Amazon Fashion reviews that provides a natural and intuitive conversational experience, allowing users to explore customer reviews, identify trends, and understand what…

    Python

  3. weld-anomaly-detection weld-anomaly-detection Public

    A Welding Anomaly Detection system using unsupervised Machine Learning and statistical analysis to identify anomalies in welding process curves.

    Jupyter Notebook 3

  4. parallelized-pipelines-data-science parallelized-pipelines-data-science Public

    Forked from danielemingolla/parallelized-pipelines-data-science

    A pipeline to analyze data scraped from major Italian book publishers’ online catalogs to identify the most influential features of a book on the book’s price.

    Python

  5. sentiment_analysis_performances_comparison sentiment_analysis_performances_comparison Public

    Forked from danielemingolla/sentiment_analysis_performances_comparison

    Developed and compared the performance of different machine/deep learning models in predicting the sentiment of hotel and B&B reviews.

    Python

  6. ARTICLEES_WEBAPP_FLASK ARTICLEES_WEBAPP_FLASK Public

    Forked from danielemingolla/ARTICLEES_WEBAPP_FLASK

    A web application where users can create a profile and write articles to share with other members of the community. The interface's completely responsive, and the system can work with a long list o…

    HTML