Luca Boldrin

Experience

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  University of Bristol

  Oct 2011 - Jan 2014

  Activities:• Supporting the vibration laboratory class in the setup and configuration of a tuned vibration absorber applied to 1-DoF torsional system under harmonic frequency excitation.• Supporting the inertia laboratory class in defining an experimental procedure to measure the moment of inertia of squash racquets to within 2% accuracy. Addressing the theory of compound pendulum and introducing the treatment of experimental errors and uncertainty.• Supporting the computing laboratory class in solving introductory programming exercises aimed at exposing students to academic software as Excel+VBA, Matlab, Simulink and AutoCad. Show less

  • Researcher PHD Student

    Jan 2010 - Jan 2014

  • Teaching Support Assistant

    Oct 2011 - Jul 2012
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  Self-Employed

  Aug 2014 - Dec 2014

  Data Scientist

  • Self-paced training in data science via online courses offered by Stanford university, John Hopkins university, MIT and University of Waikato. Foundation in data processing, exploratory analyses, inferential statistics and machine learning, with the aid of software environments R, Python and WEKA.• NLP project:Development of a basic predictive text model via R Shiny. App accessible at https://lbcoursera.shinyapps.io/AppNLP.

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  IBM

  Sept 2015 - Dec 2015

  Intern at IBM Global Technology Services - Italy

  • Training in IBM Cloud, Analytics, Mobile, Social & Security Services, involving the definition of ICT solutions answering various client business requirements.

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  Safran

  Mar 2016 - Jul 2021

  Data Scientist @ SAFRAN Analytics

  • Interpreting and managing data in order to solve business problems arising from different domains: e.g. logistics, operations, finance and engineering.• Performing quantitative and qualitative analysis to drive proposed solutions.• Exploiting data mining, statistical analysis and machine learning techniques.

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  MINES ParisTech

  Feb 2019 - Feb 2019

  Visiting Lecturer - Deep learning

  • Introduction to CNNs (convolutional neural networks)• Introduction to GANs (generative adversarial networks)• Hands-on workshops on programming CNNs and GANs in Python

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  Bridgestone EMIA

  Aug 2021 - now

  R&D Senior Data Scientist @ BRIDGESTONE EMIA

  Data Scientist and member of the Predictive Modelling team.• Structuring and management of data science projects. Risk and feasibility assessment, technical evaluation and resource allocation.• Technology watch.• Conception of data analytics-driven solutions.• Research and development, digital transformation.