Vincent Bonne
BI Engineer at Actinvision- Claim this Profile
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Bio
Experience
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Actinvision
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France
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IT Services and IT Consulting
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1 - 100 Employee
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BI Engineer
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Sep 2023 - Present
Ville de Paris, Île-de-France, France Conseil, formation, coaching, prestations client. Analyse, développement ETL, data visualisation. Power BI, Tableau Software
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Kereon Intelligence
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France
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IT Services and IT Consulting
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1 - 100 Employee
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BI Data Analyst
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Oct 2021 - May 2023
Paris, Île-de-France, France Accompagnement client, BI, data analyse et visualisation
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Consultant Digital/ Data
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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
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Mydral
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France
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Information Technology & Services
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1 - 100 Employee
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Business Expert
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Oct 2018 - Dec 2020
Paris Area, France Consultant Biga Data and visualization. Tableau Software.
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DataScientest.com
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France
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Education Administration Programs
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100 - 200 Employee
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Data Scientist
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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
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OMENDO
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France
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Professional Training and Coaching
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1 - 100 Employee
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Business Start-up process within the dedicated structure Activ’Crea
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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
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DOCOMO Digital
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United Kingdom
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Financial Services
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1 - 100 Employee
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Business Intelligence Manager
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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
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Buongiorno
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Italy
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Telecommunications
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100 - 200 Employee
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Data Analyst Manager
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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.
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Freever
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Telecommunications
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1 - 100 Employee
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Data Analyst
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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.
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Education
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Université Paris 1 Panthéon-Sorbonne
Master's degree in computer science and statistics, Mathematical Statistics and Probability -
Demography Institute of Paris 1 University - (IDUP)
Master's degree in demography (NVQ Level 5), Demography and Population Studies -
Faculty of Science - University of Nancy
Licence, PHYSICAL SCIENCES