Lorenzo B., PhD

Lorenzo B., PhD

Postdoctoral Researcher in Particle Physics

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location of Lorenzo B., PhDSanta Maria di Sala, Veneto, Italy

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  • Timeline

  • About me

    Analytics Business Lead and Data Science Lead, MENSA member

  • Education

    • Università degli Studi di Padova

      2002 - 2005
      Bachelor's degree Physics 110/110
    • Università degli Studi di Padova

      2005 - 2007
      Master's degree Physics 110/110 magna cum laude
    • University of Southampton

      2007 - 2011
      Doctor of Philosophy (Ph.D.) Theoretical Physics

      Phenomenology of Beyond the Standard Model theories: I generated and analysed Monte Carlo events (parton and detector level) to compare the model I studied (a U(1) extension of the Standard Model related to the Baryon minus Lepton number) to real LHC data. I studied as well the model at Next-To-Leading Order: vacuum structure and Renormalisation Group Equations. My PhD Thesis can be found at http://arxiv.org/abs/1106.4462

  • Experience

    • Albert Ludwigs University of Freiburg, Germany

      Oct 2011 - Sept 2013
      Postdoctoral Researcher in Particle Physics

      I studied several models of beyond the Standard Model Physics, in particular trying to address the issues of Dark Matter and Neutrino Masses. Connected to it, I proposed a new model. Also, I collaborated for the computation of the NLO ElectroWeak and QCD corrections to the top quark decay width and I co-tutored 2 PhD students. Furthermore, I served as theoretical consultant for the ATLAS PhD student.

    • Université de Strasbourg

      Oct 2013 - Sept 2015
      Postdoctoral Researcher in Particle Physics

      I did Monte Carlo events generation and analysis for beyond the Standard Model processes, in particular concerning flavour-changing processes involving the top quark in a model-independent way, and their reinterpretation especially with respect to vector-like quarks. Furthermore, I also served as theoretical consultant for the CMS group.

    • Centre de Physique des Particules de Marseille (CPPM; CNRS/IN2P3 - Aix-Marseille University)

      Oct 2015 - Apr 2016
      Postdoctoral Researcher in Particle Physics

      I did Monte Carlo events generation and analysis for beyond the Standard Model processes. In particular, I was part of a collaboration checking the theoretical availability of models trying to explain the recent 750 GeV excess. I co-tutored 1 PhD Atlas student and a Physics Master student. Furthermore, I also served as theoretical consultant for the ATLAS group.

    • ATG (Auction Technology Group)

      Apr 2016 - Jun 2018

      Exploration, analysis and presentation of insights for customer data (segmentation, behaviour, affinity) and trade data (business performance, purchasing behaviour, optimisation)Trending and forecasting analyses, also applied to budgeting processDevelopment and maintenance of internal dashboards and KPs reports (PowerBI)Development of internal Data Warehouse (Azure) and automated/self-serviced reportingSupporting the marketing, sales, finance, and operations teams with data extraction and analysesManagement of various analytical tools and accounts (GA, PowerBI, SFMC, ...)Experience with Agile and scrumPOC of automated price benchmark for new inventory, based on historic dataResponding to internal and external ad-hoc requests for analysisIdentification and correction of erroneous data points Show less

      • Data Scientist

        Oct 2016 - Jun 2018
      • Junior Data Analyst

        Apr 2016 - Sept 2016
    • Moonpig

      Jun 2018 - Apr 2019
      Data Scientist

      I was a member of an Agile Analytics team of 7 individuals, reporting into Head of Analytics and embedded in the Commercial Team and Trading Squad. I rapidly developed into a pivotal point of contact for data and insights for the whole business. I was responsible for the analysis of Commercial performance and KPIs; creation and automation of reports and trackers; designing, forecasting, reporting and optimising promotional activities and price tests. Key Achievements:- I created an end-to-end classifier to predict card occasion and recipient, parsing text written on card (based on BoW and XGBoost). I deployed the final model into the production ETL- I performed a clustering analysis to categorise our buyers to segment the database (with k-means in scikit-learn)- I created and automated the Commercial weekly and daily KPI reports (google sheets), as well as all trackers (also hourly) for activities during special events- I developed a framework for planning and analysing experiments regarding price and promotional activities (aim-hypothesis-KPI-results)- I analysed our customers in cohorts, creating a framework to benchmark the 3 years grows plan in line with the Financial team- I created the POC pipeline for the extension of the database to include COGS Show less

    • Sky

      Apr 2019 - Sept 2020

      I was project leader and member of an agile Advanced Analytics team of 30+ individuals managing 2 data scientists, reporting into Lead Data Scientist and embedded in the Applied Business Analytics Team.

      • Senior Data Scientist

        Feb 2020 - Sept 2020
      • Data Scientist

        Apr 2019 - Jan 2020
    • Generali

      Sept 2020 - now

      Analytics Business Lead for the P&C spoke, I manage a team of 2 data scientists and 1 data engineer, reporting directly to the Chief P&C Officer. Senior Data Scientist in the Enterprise spoke

      • Analytics Business Lead

        Jan 2023 - now
      • Senior Data Scientist

        Sept 2020 - Dec 2022
  • Licenses & Certifications

    • Machine Learning by Stanford University on Coursera

      Coursera Course Certificates
      Jan 2016
      View certificate certificate
    • Excel with Excel Pivot Tables!

      Udemy
      Feb 2016
      View certificate certificate
    • Master Big Data and Hadoop Step-By-Step from Scratch

      Udemy
      Jan 2016
      View certificate certificate
    • MySQL Database MasterClass: Go From Pupil To Master!

      Udemy
      Jan 2016
      View certificate certificate
    • Architecting with Google Compute Engine Specialization

      Coursera
      Aug 2021
      View certificate certificate
    • Advanced Machine Learning on Google Cloud Specialization

      Coursera
      Dec 2020
      View certificate certificate
    • Spark and Python for Big Data with PySpark

      Udemy
      Mar 2019
  • Honors & Awards

    • Awarded to Lorenzo B., PhD
      NExT PhD Scholarship NExT Institute and University of Southampton Oct 2007 PhD scholarship of 3 years
    • Awarded to Lorenzo B., PhD
      Regional Scholarship Regione Veneto and Università di Padova Oct 2002 Yearly University Scholarship for all 5 years of Bachelor+Master degree