resume eng json

resume.json

{
  "basics": {
    "name": "Thomas Lentali",
    "label": "Data Scientist @Betclic Group",
    "image": "https://secure.gravatar.com/avatar/08fc7ec152dfea6702e0cb5b1773d77b",
    "email": "thomas.lentali@gmail.com",
    "phone": "(+33)6 16 24 58 68",
    "url": "tlentali.github.io/",
    "summary": "Enthusiastic and experienced (5+ years) Data Scientist / Machine Learning Engineer.\n[StackOverflow](https://stackoverflow.com/users/8479387/tlentali) answerer (top 1% in 2021).\n[Kaggle](https://www.kaggle.com/tlentali) competition expert.\n[Open source](https://github.com/tlentali) advocate.",
    "location": {
      "countryCode": "FR",
      "address": "92 rue Mathieu",
      "city": "Bordeaux"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "thomas-lentali",
        "url": "https://www.linkedin.com/in/thomas-lentali/"
      },
      {
        "url": "https://stackoverflow.com/users/8479387/tlentali",
        "username": "tlentali",
        "network": "stackoverflow"
      },
      {
        "url": "https://github.com/tlentali",
        "username": "tlentali",
        "network": "github"
      },
      {
        "url": "https://www.kaggle.com/tlentali",
        "username": "tlentali",
        "network": "kaggle"
      }
    ]
  },
  "work": [
    {
      "name": "Betclic Group",
      "position": "Data Scientist",
      "startDate": "2019-06-30",
      "endDate": "2022-01-31",
      "highlights": [],
      "summary": "At Betclic, I am involved in several fascinating and engaging subjects :\n𝗟𝗲𝗴𝗮𝗹 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲\n• Responsible gaming : detection of high risk customer behavior before critical stage of gambling dependence using classification and anomaly detection models.\n• Financial crime detection\n𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗥𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀𝗵𝗶𝗽 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁\n• Personalised offert for emailing campaign : explicit collaborative filtering, matrix collision.\n• Churn and lapse : detection of potential churn using classification.\n 𝗔𝗰𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝗼𝗻\n• Lifetime value : LTV prediction on several timeline using classifiaction, time series and survival analysis.",
      "url": "https://www.linkedin.com/company/betclicgroup/",
      "location": "Bordeaux, Nouvelle-Aquitaine, France"
    },
    {
      "name": "Cdiscount",
      "position": "Data Scientist Advisor",
      "startDate": "2018-10-31",
      "endDate": "2019-06-30",
      "highlights": [],
      "summary": "My mission consisted in providing data driven solutions for Cdiscount intern services in a short period of time. Missions achieved : \n• Massive customer clustering (Cdiscount Voyage)\n• Bot detection (pattern analysis)\n• Sentiment analysis (Natural Langage Processing)\n• Object detection in picture (Mask-RCNN, yoloV3)",
      "url": "https://www.linkedin.com/company/cdiscount/",
      "location": "Bordeaux, France"
    },
    {
      "name": "Cdiscount",
      "position": "Data Scientist",
      "startDate": "2016-10-31",
      "endDate": "2018-10-31",
      "highlights": [],
      "summary": "As a Data Scientist working in the Search Engine Team, I was involved in the development and deployment  of machine learning algorithms and data analysis applied to (at least):\n• Search engine relevance\n• Recommendation engine\n• Algorithms evaluation (A/B testing)\n• Focus on website's KPI improvment\n• Python development (Scikit-learn, Numpy, Scipy, Pandas, Luigi etc)\n• Hadoop Hive & SQL Databases",
      "url": "https://www.linkedin.com/company/cdiscount/",
      "location": "Bordeaux, France"
    },
    {
      "name": "Cdiscount",
      "position": "Data Scientist Intern",
      "startDate": "2016-03-31",
      "endDate": "2016-09-30",
      "highlights": [],
      "summary": "Machine learning implementation and statistical analysis used to improv the relevence of the Cdiscount.com search engine.\n• Marketing targeting :\nbehavioral analysis and improvment of the search engine relevence through AB test, proof of concept personnalisation client (classification and clustering)\n• Geographical data :\nPurchase forecasting by geographic zone\nStatistical analysis : data enrichment with INSEE database, implementation and developement of geocoding tool\n• Intern innovation contest :\nSetting of a new operationnal service for the client : forcasting system of product storage to allow express delivery",
      "url": "https://www.linkedin.com/company/cdiscount/",
      "location": "Bordeaux, France"
    },
    {
      "name": "Idaia Group",
      "position": "Data Scientist Intern",
      "startDate": "2015-06-30",
      "endDate": "2015-08-31",
      "highlights": [],
      "summary": "Sourcing, implementation and development of machine learning tools (mainly classification multiclass) in Python and Scala into Apache Spark large-scale data framework",
      "url": "https://www.linkedin.com/company/idaia-group/",
      "location": "Bordeaux, France"
    },
    {
      "name": "The Co-operative Food",
      "position": "Warehouse Operator",
      "startDate": "2013-02-28",
      "endDate": "2013-05-31",
      "highlights": [],
      "summary": "Opérateur en entrepôt, organisation / stockage de marchandises.",
      "url": "https://www.linkedin.com/company/the-co-operative-food/"
    },
    {
      "name": "The Yankee Candle Company, Inc.",
      "position": "Customer Service Europe",
      "startDate": "2012-10-31",
      "endDate": "2013-01-31",
      "highlights": [],
      "summary": "Relation client en Europe, gestion des flux de commandes et livraisons entre la France et l'Angleterre.",
      "url": "https://www.linkedin.com/company/the-yankee-candle-company-inc-/",
      "location": "Avonmouth, Royaume-Uni"
    }
  ],
  "volunteer": [
    {
      "organization": "St Peter's Hospice",
      "position": "Customer service",
      "startDate": "2012-07-31",
      "endDate": "2012-09-30",
      "summary": "Voluntary worker into a charity shop in Bristol (UK) to get fund to the St Peter’s Hospice.\nSt Peter’s Hospice is a Bristol charity caring for adults with life-limiting illnesses.\nOur aim is to improve the quality of their living and dying while extending care and support to their families and loved ones.",
      "highlights": [],
      "url": ""
    }
  ],
  "education": [
    {
      "institution": "Bordeaux University",
      "area": "Applied Mathematics, Optimization, Operations Research",
      "studyType": "MSc. (fr : Master)",
      "startDate": "2014-12-31",
      "endDate": "2016-12-31",
      "score": "",
      "courses": []
    },
    {
      "institution": "Toulon University",
      "area": "Applied Mathematics",
      "studyType": "BSc. (fr : Licence)",
      "startDate": "2011-12-31",
      "endDate": "2012-12-31",
      "score": "",
      "courses": []
    },
    {
      "institution": "Toulon University",
      "area": "Pure Mathematics",
      "studyType": "BSc. (fr : Licence)",
      "startDate": "2008-12-31",
      "endDate": "2011-12-31",
      "score": "",
      "courses": []
    }
  ],
  "awards": [
    {
      "title": "Kaggle Competition Expert",
      "date": "2019-07-31",
      "awarder": "Kaggle",
      "summary": ""
    },
    {
      "title": "294th/3165 (Bronze medal - Top 10%) @Kaggle :  Google Jigsaw - Unintended Bias in Toxicity Classification",
      "date": "2019-07-31",
      "awarder": "Kaggle",
      "summary": "Detect toxicity across a diverse range of conversations"
    },
    {
      "title": "169th/4037 (Silver medal - Top 5%) @Kaggle : Quora - Insincere Questions Classification",
      "date": "2019-02-28",
      "awarder": "Kaggle",
      "summary": "Detect toxic content to improve online conversations"
    },
    {
      "title": "24th/837 (Top 3%) @Datascience.net : Cdiscount - Catégorisation de produits pour le e-commerce",
      "date": "2015-08-31",
      "awarder": "https://www.datascience.net/fr/challenge/20/details",
      "summary": "Créer un système automatique de catégorisation des produits à partir de leur description.\n"
    }
  ],
  "certificates": [
    {
      "name": "Machine Learning",
      "issuer": "Coursera",
      "date": "2016-04-30",
      "url": "https://www.coursera.org/account/accomplishments/records/8LTXTCXDEJM7"
    }
  ],
  "publications": [],
  "skills": [
    {
      "name": "Data Science",
      "level": "5",
      "keywords": ["Machine Learning", "Data Analysis", "Data Mining", "Scikit-learn", "Pandas", "Tensorflow", "Pytorch"]
    },
    {
      "name": "Programming",
      "level": "5",
      "keywords": ["Python", "SQL", "C++", "C", "Bash Shell", "Git/Github", "Scala", "R", "Wolfram Mathematica", "Matlab/Octave"]
    },
    {
      "name": "Maths",
      "level": "5",
      "keywords": ["Operation Research", "Optimization", "Statistics", "Graph Theory"]
    }
  ],
  "languages": [
    {
      "fluency": "Full Professional",
      "language": "English"
    },
    {
      "fluency": "Native Speaker",
      "language": "French"
    }
  ],
  "interests": [],
  "references": [
    {
      "name": "Bertrand Warot, Data Science Manager @Betclic-Group",
      "reference": "Thomas is a gem!\n\nI have had the pleasure to manage and work with him on several projects.\nHis a fast learner and adapted quickly to the specificities of our industry. His deep scientific knowledge along with his coding skills are his strongest assets (and two of the most important skills for a data scientist). I also have been amazed by the creative approaches he has to rather common issues, always willing to test new ideas, which paid most of the time.\n\nHe is definitely passionate about Data Science and Mathematics, and loves to share his knowledge and make it accessible to everyone.\n\nI would be glad to have the occasion to work with him again in the future!"
    }
  ],
  "projects": [
    {
      "name": "Machine learning algorithms implementation for detection and classification of recipes",
      "startDate": "2016-01-31",
      "summary": "Développement d'outils de détection d'information dans un texte (détection d'anomalie), d'analyse sémantique et de classification.\n\nLangages: Python, C++, R\nPlatform: Microsoft Azure Machine Learning",
      "url": "https://abracadacook.com/",
      "endDate": "2016-03-31"
    },
    {
      "name": "Challenge CDiscount.com \"Product classification for e-commerce\"​ on DataScience.net",
      "startDate": "2015-06-30",
      "summary": "Création d'un système automatique de catégorisation de produits à partir de leur description.\n\nLanguages:      Python, Scala, Bash Shell\nFrameworks:    Hadoop, Spark\nClassement :    24ème/838\n\nLien : https://www.datascience.net/fr/challenge/20/details#tab_ranking",
      "url": "https://www.datascience.net/fr/challenge/20/details#tab_ranking",
      "endDate": "2015-08-31"
    }
  ],
  "meta": {
    "version": "v1.0.0",
    "canonical": "https://github.com/jsonresume/resume-schema/blob/v1.0.0/schema.json",
    "theme": "elegant"
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}