
Lorenzo B., PhD
Postdoctoral Researcher in Particle Physics

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About me
Analytics Business Lead and Data Science Lead, MENSA member
Education

Università degli Studi di Padova
2002 - 2005Bachelor's degree Physics 110/110
Università degli Studi di Padova
2005 - 2007Master's degree Physics 110/110 magna cum laude
University of Southampton
2007 - 2011Doctor of Philosophy (Ph.D.) Theoretical PhysicsPhenomenology 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 2013Postdoctoral Researcher in Particle PhysicsI 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 2015Postdoctoral Researcher in Particle PhysicsI 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.
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Centre de Physique des Particules de Marseille (CPPM; CNRS/IN2P3 - Aix-Marseille University)
Oct 2015 - Apr 2016Postdoctoral Researcher in Particle PhysicsI 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.
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ATG (Auction Technology Group)
Apr 2016 - Jun 2018Exploration, 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 2018Junior Data Analyst
Apr 2016 - Sept 2016

Moonpig
Jun 2018 - Apr 2019Data ScientistI 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 2020I 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 2020Data Scientist
Apr 2019 - Jan 2020

Generali
Sept 2020 - nowAnalytics 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 - nowSenior Data Scientist
Sept 2020 - Dec 2022
Licenses & Certifications
- View certificate

Machine Learning by Stanford University on Coursera
Coursera Course CertificatesJan 2016 - View certificate

Excel with Excel Pivot Tables!
UdemyFeb 2016 - View certificate

Master Big Data and Hadoop Step-By-Step from Scratch
UdemyJan 2016 - View certificate

MySQL Database MasterClass: Go From Pupil To Master!
UdemyJan 2016 - View certificate

Architecting with Google Compute Engine Specialization
CourseraAug 2021 - View certificate

Advanced Machine Learning on Google Cloud Specialization
CourseraDec 2020 
Spark and Python for Big Data with PySpark
UdemyMar 2019
Honors & Awards
- Awarded to Lorenzo B., PhDNExT PhD Scholarship NExT Institute and University of Southampton Oct 2007 PhD scholarship of 3 years
- Awarded to Lorenzo B., PhDRegional Scholarship Regione Veneto and Università di Padova Oct 2002 Yearly University Scholarship for all 5 years of Bachelor+Master degree
Languages
- frFrench
- enEnglish
- itItaian
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