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baptiste besson

Data Scientist

41 ans • Nice

Résumé

More than eight years of international experience in development and management in IT. Passionate about using data to solve business problems and drive customer facing products I decided to follow the new Mastère Spécialisé Big Data at Grenoble INP Ensimag. I am now looking for a Data Scientist position from October 2015.

Compétences

• machine learning (supervised and unsupervised learning approaches classification and clustering), data mining, statistical analysis, data analysis, information retrieval, distributed systems, security, data visualization, semantic web… • map/reduce, hadoop, spark, hive, nosql, mongodb • r, python, scala, matlab • d3.js, tableau • business skills, data value creation as a service, ethic (big data related) • project management : agile/scrum, waterfall • programming languages : java, jee, c++, c, c, scheme • databases : sql, oracle, mysql • web : xml, json, html, soa • algorithms. complexity analysis, graph theory…

Expériences

Data Scientist Intern

Études / Statistiques / Data

Responsible of the analytics program at the start up Izicap in Nice in collaboration with the research Data Mining CNRS department i3s at Sophia Antipolis. From millions of banking shop transactions, and open data extraction from disparate sources, multi-dimensional data analysis to define relevant clusters and work on algorithms to optimize the consumer targeting for each shop. Comparison of classic clustering methods (PCA, kmeans, HCP…) with more advanced such as consensus clustering algorithms. Use of the clustering to predict new shops consumer behavior with supervised classification algorithms. Definition and automation of loyalty programs based on consumers and shops analysis (buyer frequencies, shops locations criteria, weather conditions, local revenue….). Environment: R, Java, Python

Chef de projet

Gestion de projet / Produit

Project and Planning Management on different Amadeus products/project including Amadeus Selling Platforms the world’s most used retailing application for Travel Professionals. - Collect project requirements and develop project management plans for each release: (2000-3000 eds). Scope definition during kick off meetings. - Estimate activity durations and resources needed according to the allocated budget and competencies given by Team Leaders. - Plan risk management and tracking from specifications until production. Monitoring control management and planning follow up via online timesheets. - Weekly meetings interfacing with all stakeholders including marketing, development and testing teams. - Weekly reports and alerts, RFC proposals to top management of the company.

Software Engineer

Engineer member in the Accenture Technology Labs, Accenture’s dedicated tech R&D organization, renowned for its technology vision and for inventing the next wave of cutting-edge business solutions. Took part of several projects in Web and Mobility (NTIC) initiative in different countries in Europe. Selection: • Project lead on a remote healthcare Web and Mobile application to manage patients measures, appointments, therapy… Specifications discussed directly with business client and lead of the Web development (RIA, Java, Databases) team in Roma. The application was demonstrated on an Interactive Wall in Barcelona during the 3GSM Forum • Mobile and Web Shopping Project: specification and development of a set of functionalities targeted at the consumer to assist him during the shopping experience on iPhone. The solution creates a multichannel experience by managing the same shopping list through a Web Interface and a Mobile Phone (iPhone, Nokia). On the phone extra features were included to add new items on the shopping list: - Scan NFC tag of product (NFC phone only) - Perform object recognition (server-side) using picture of the product Through the same channel the retailer can provide targeted promotion and advertisement to the customer. • Creation of set of deliverables in mobility iPhone/iPad and web technologies (Java, Web services) in order to demonstrate how Accenture can innovate in the Insurance sector: - Collaboration in the writing of the business presales proposals - Technical proposals and definitions of possible scenarios using defined technologies - Development and management of several applications on iPhone/iPad and Web - Demonstrations of the assets developed by Accenture Labs during workshops to international clients

Intern and Freelance

Infra / Réseaux / Télécoms

Analysis Design and Development of a 3-tiers Java J2EE/JEE5 application. The objective of the project was to illustrate the use of the main services defined in the MTOSI (multi technology operations service interface) Solution Set. Demonstration to the MTOSI international team during the TMF World Conference in Nice. The application is deployed on the TM Forum lab machine, and can be used by any granted user.

Formations

Mastère Specialisé Big Data- Ensimag (Inpg)

2014 - 2015

Grenoble, Isere

• Technical courses at Ensimag and Business Courses at GEM until mid-February 2015. Statistics Data Mining, Machine Learning, Information retrieval, Large Scale Data Analysis, Data visualization, Service value creation, Management Data Strategy, Ethics… • “Projet fil rouge” : Smart Data in Warehouse Management System in collaboration with a famous French retailer of DIY: Correlation of internal activities of the logistic warehouse with external data such as weather forecast, calendar, social networks… Main objectives: - Creation of a Meta Model from existing data provided and external data to crawl and qualify. - Multi source and heterogeneous information retrieval. - Business use cases proposals that fit in the retailer strategy Environment: Hadoop / Hive – MongoDB, Python, D3.js • Internship at start up Izicap.

Mastère MBDS- Université de Nice Sophia Antipolis

2006 - 2007

Nice, Alpes-Maritimes

Mes qualités

Communicant·e

Entreprenant·e

Convaincant·e

Curieux·se

Langues parlées

Anglais
Professionnel
Français
Langue maternelle

Mes souhaits

Après mes études

Je souhaite occuper un poste de Data Scientist à responsabilité dans un environnement start up et dynamique.