Paul Puget

Data science Lead at Kaluza
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Contact Information
us****@****om
(386) 825-5501
Location
UK
Languages
  • Français Native or bilingual proficiency
  • Anglais Full professional proficiency
  • Portugais Full professional proficiency
  • Espagnol Limited working proficiency

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5.0

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Antoine Collet

It was a real pleasure to work with Paul during 2 years at Pricing Assistant. No matter the problem he's set, he will work thoroughly and diligently to find a good solution. Paul is a talented data scientist with a strong understanding of the fundamentals of computer science. His team player qualities makes him an essential asset in small teams that have to tackle big problems.

Ismaël Attoumani

I worked with Paul for a year and a half. Not only did he show top technical skills in the project he led, his ideas brought great depth and insights to the team. As one of the first hires of the company, he showed dynamism in sharing its spirit and was always open to new ideas. Pricing Assistant is my first job, and since I joined, working with Paul was always gratifying and helped me improve in various areas.

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Experience

    • United Kingdom
    • Utilities
    • 300 - 400 Employee
    • Data science Lead
      • Nov 2020 - Present

      Data science Lead at Kaluza including 3 missions: - Continuing to be and individual contributor as part of the markets team. Working on price and flexibility forecasting and enabling flexible residential assets (Electric vehicle charging points, heating systems, home energy storage) to participate in flexibility procurement markets (turndown, balancing mechanisms, turnup). - Leading on all the data science topics in the flexibility product of Kaluza (tech team of around 60 people), including strategy, resource allocation and tooling.- Line managing all the data scientists of the flexibility product of Kaluza (currently two of them).

    • Senior Data Scientist
      • Feb 2019 - Nov 2020

      During that experience I was part of two teams:- First the asset team working on control algorithms for EVs charging and storage heaters enabling customer propositions and creating value out of a price signal. - Then In the Markets team I leaded the work on integrating flexibility markets and creating price signals in order to incentivise the behaviour of residential flexible assets.

    • United Kingdom
    • Utilities
    • 700 & Above Employee
    • Data Scientist
      • Jun 2017 - Feb 2019

      I will be leveraging Ovo's data to solve business problems across both retail and the larger group. I will be leveraging Ovo's data to solve business problems across both retail and the larger group.

  • Self-employed
    • Paris Area, France
    • Freelance Data Scientist
      • Feb 2017 - Jun 2017

    • France
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Data scientist & lead developer - Adwords Pilot
      • Feb 2015 - Jan 2017

      In early January, Pricing Assistant launched a bidding engine for shopping campaigns. I was the main developper of the solution, creating the bidding engine itself and reporting tools for both customers, our team and the management.- Design and implementation of the bidding engine interacting with Google AdWords & Analytics APIs, and based on the open-sourced taskqueue management system MRQ. - Design and optimisation of 4 machine learning models, and of an infrastructure allowing to deploy and monitor them easily. - Design, building and maintenance of customer interfaces using javascript and Elasticsearch.- Product management, communication with customers and our sales team.Going from 0 to 30 customers with a 75k€ monthly budget managed on Google AdWords on 100k products.Technologies: Python, Elasticsearch, MongoDB, JavaScript, HTML/CSS

    • Data scientist - Price Monitoring
      • Aug 2013 - Mar 2015

      Main data scientist at Pricing Assistant, a growing startup gathering competition data on the web and leveraging it in order to optimize the sales of e-merchants. - Built an entity matching machine learning algorithm in order to match product webpages using NLP techniques.Improved the performances compared to the existing solution. Put the model into production. Communicated around the model in the EuroSciPy conference, and for the scientific investment programs of French government.- Built an algorithm in order to differentiate product webpages from category webpages. Deployed in production.- Built the basis of the ORM based on the MongoKit library. Relevant technologies: Python, MongoDB, JavaScript, R, NLP

    • France
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Data scientist
      • Apr 2013 - Aug 2013

      In charge of all the data related work in ClearKarma (database creation, management and data analysis). Manipulating objects such as Graph Databases (MongoDB, RDF,...). Also involved in many of the functions of the start-up (marketing, project management, business development). In charge of all the data related work in ClearKarma (database creation, management and data analysis). Manipulating objects such as Graph Databases (MongoDB, RDF,...). Also involved in many of the functions of the start-up (marketing, project management, business development).

    • Intern, applied mathematics & modeling
      • Apr 2012 - Sep 2012

      Celesc Distribuição is responsible for the distribution of electricity in the region of Santa Catarina in Brazil. * Design of a model for prediction of liquidation value (economic indicator of Celesc) using R language. Improvement of forecasting ability by 50%. * Design of a tool of prediction, and automatic importation of data based on the previous model with VBA for Excel. * Work on a model for determination of the price-demand elasticity of energy. Redaction of an article selected for the participation of the CIRED 2013 (major conference of energy) . * Automatic detection & replacement of outliers in electricity consumption time series.

  • Mines-Paris
    • Sophia Antipolis
    • Research engineer intern
      • May 2011 - Sep 2011

      Internship in the research center CEP Sophia Antipolis. Main objective : Design of a model for short term prediction of photovoltaic production. * State of the art for prediction of short-term photovoltaic production * Cleaning from outliers and management of photovoltaic production dataset. * Design of a new model of short term prediction of photovoltaic production separating stochastic and deterministic parts. * Writing of a scientific report. Internship in the research center CEP Sophia Antipolis. Main objective : Design of a model for short term prediction of photovoltaic production. * State of the art for prediction of short-term photovoltaic production * Cleaning from outliers and management of photovoltaic production dataset. * Design of a new model of short term prediction of photovoltaic production separating stochastic and deterministic parts. * Writing of a scientific report.

  • Airbus Corporate Jet Center
    • Midi-Pyrenees, France
    • Intern
      • Feb 2010 - Mar 2010

      Discovery of the enteprise world in the environment of Airbus Corporate Center, a luxury aircraft manufacturer. * Project Management Discovery of the enteprise world in the environment of Airbus Corporate Center, a luxury aircraft manufacturer. * Project Management

Education

  • Ecole nationale supérieure des Mines de Saint-Etienne
    2012, Computational and Applied Mathematics
    2009 - 2012
  • Lycée Pierre de Fermat
    Preparatory classes, Lycée Pierre de Fermat, Toulouse (2007 to 2009), MPSI/MP, with computer science, Mathematics, physics and management
    2007 - 2009

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