Vincent Bonne

BI Engineer at Actinvision
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Greater Paris Metropolitan Region, FR

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • France
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • BI Engineer
      • Sep 2023 - Present

      Ville de Paris, Île-de-France, France Conseil, formation, coaching, prestations client. Analyse, développement ETL, data visualisation. Power BI, Tableau Software

    • France
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • BI Data Analyst
      • Oct 2021 - May 2023

      Paris, Île-de-France, France Accompagnement client, BI, data analyse et visualisation

    • Consultant Digital/ Data
      • Jan 2021 - Sep 2021

      Gérardmer, Grand Est, France Développement d'un site web d’informations, avec prise de rdv et zone e-commerce. Web analyitcs

    • France
    • Information Technology & Services
    • 1 - 100 Employee
    • Business Expert
      • Oct 2018 - Dec 2020

      Paris Area, France Consultant Biga Data and visualization. Tableau Software.

    • France
    • Education Administration Programs
    • 100 - 200 Employee
    • Data Scientist
      • Jun 2018 - Sep 2018

      Paris Area, France Full-time Data Science bootcamp with certificates : ✔ R, Python, Scala, Spark, SGDB SQL et NoSQL, cloud computing, Hadoop. ✔ Maching learning, Natural Langage Processing, Text Mining, Deep Learning, Reduction Data Focusing the practices into Supervised vs Unsupervised approaches : ◐ Supervised learning including : - Classification : To predict the outcome of a given sample where the output variable is in the form of categories. - Regression : To predict… Show more Full-time Data Science bootcamp with certificates : ✔ R, Python, Scala, Spark, SGDB SQL et NoSQL, cloud computing, Hadoop. ✔ Maching learning, Natural Langage Processing, Text Mining, Deep Learning, Reduction Data Focusing the practices into Supervised vs Unsupervised approaches : ◐ Supervised learning including : - Classification : To predict the outcome of a given sample where the output variable is in the form of categories. - Regression : To predict the outcome of a given sample where the output variable is in the form of real values. Example : Linear Regression, Logistic Regression, decision trees, Naïve Bayes, KNN, Bagging with Random Forests, etc. ◑ Unsupervised learning mainly with : - Clustering methods : To group samples such that objects within the same cluster are more similar to each other than to the objects from another cluster. - Dimensionality Reduction, means reducing the number of variables of a dataset while ensuring that important information is still conveyed. It can be done using Feature Extraction methods and Feature Selection methods. Example : PCA algorithm as a Feature Extraction approach, K-means, AHC, etc. Show less

    • France
    • Professional Training and Coaching
    • 1 - 100 Employee
    • Business Start-up process within the dedicated structure Activ’Crea
      • Jan 2018 - Apr 2018

      Paris Area, France Objective : Developping the concept/ product, by working on the storyboard, benchmarking, market studies and business plan with financial and legal perspective. Status : Stand-by

    • United Kingdom
    • Financial Services
    • 1 - 100 Employee
    • Business Intelligence Manager
      • Jan 2015 - Sep 2017

      Paris - Working on projected budgets, monitoring the business activity by many reportings (real vs budget) after financial closures. Revenues, costs, marketing investments, 1st margin, IAV, etc. - Monitoring of mobile acqusiition campaigns (mobile services with subscriptions by tacit renewal). Estimation of life-time value (LTV) et ROI calculation. - Analyses of the churn and the billability of customers. - Implementaion of realistic business plan, validated by analysis and experience… Show more - Working on projected budgets, monitoring the business activity by many reportings (real vs budget) after financial closures. Revenues, costs, marketing investments, 1st margin, IAV, etc. - Monitoring of mobile acqusiition campaigns (mobile services with subscriptions by tacit renewal). Estimation of life-time value (LTV) et ROI calculation. - Analyses of the churn and the billability of customers. - Implementaion of realistic business plan, validated by analysis and experience, before each launch of a new product or service. - External and internal reportings, with many KPIs depending on the product. Show less

    • Italy
    • Telecommunications
    • 100 - 200 Employee
    • Data Analyst Manager
      • Jan 2007 - Dec 2014

      Paris Area, France - Statistic reports on the usage and user profiles of a mobile gaming platform. - Statistical analysis on different SMS alert services on which customers could subscribe (info, sport, games, sexy channel, etc.) - Product Manager on a sexy mobile platform. Redesigning and updating the website. Many KPIs has been followed each week. Implementation of a CRM strategy by analyzing usage and clustering the customers by different features and behaviours.

    • Telecommunications
    • 1 - 100 Employee
    • Data Analyst
      • Jan 2004 - Dec 2006

      Paris, France - Updating reports on many Chat services, on multi-channels, in 5 countries in Europe. (Users/usages). - Targeting of the customer bases, in order to apply different CRM actions.

Education

  • Université Paris 1 Panthéon-Sorbonne
    Master's degree in computer science and statistics, Mathematical Statistics and Probability
    2000 - 2002
  • Demography Institute of Paris 1 University - (IDUP)
    Master's degree in demography (NVQ Level 5), Demography and Population Studies
    2002 - 2003
  • Faculty of Science - University of Nancy
    Licence, PHYSICAL SCIENCES
    1995 - 1999

Community

You need to have a working account to view this content. Click here to join now