I consider myself as a data enthusiast. I have been immersed into an unbounded technical environment for a year. I am keen to help you out with your data and give the insight you need.
Tuning of machine learning algorithmes for anomalies detection and automatic suggestion of corrections (clustering, svm, classifiers)
Build of a Qlik dashboard for full monitor of network deployement (quality of service, efficiency of subcontractors, followup of spare parts usage and inventory)
Data clean up and embedding in order to perform a better tuning of algorythm and better forecast of delivery time and spare parts consumption
Big Data related: development of an application that predicts weather contingencies and operation duration based on 18 years of weather records history and safety working limits. Parameters taken into account: wind speed, wind direction, wave hight, wave direction, curent strength and direction.
Offshore management of lay and repair operation of submarine cable
Involved on bids in reponse to calls for tenders mainly on risk analysis and operationnal planning
Accountable for the high availability of the submarine remote operating vehicle, and all jointing and testing equipment.
Work in multicultural environment (Japan, Norway, UK, Germany, USA, Turkey, Greece, Indonesia, Morocco, South Africa ...)
Achievements: 96% of operation within scheduled time 4.6/5 is my average rating by customers
Project Owner of the main tool that describes the wired network of Orange France. That tool was directly used by more than 3 000 users daily and it was interfaced with more than 150 other applications
Management of the merging of two huge datasets into one single tool that describes exhaustively the wired network of Orange.
Business Plan: highlight business opportunity, accountable of ROIC of IT investment. Yearly Budget management > 2 millions euros
Improvement of Network and Platform supervision tools. Put in place data flow aggregator and alarm correlation system. Reduction from 48 to 2 supervision -interfaces
Change Management: set training and communication plans
Roadmap evolution: manage according to finance, time and technical constrains the product roadmap.
Increasing user satisfaction (from 40% to 85%) mainly on HMI improvement, and service availability
deployement of tools for realtime monitoring of TVoIP. 150 TV streams over 5000 dslam on real time monitoring
Management of the test bed, availability, interconnexion and compatibility, test for commissioning new releases or investigation of problem on life network
Integration specification and test strategy writing in order to implement vendor specific tools to Orange Supervision Network
High expertise on the use of network protocol analysis probes.
Adaptation of test strategy and its optimization in order to match time requirement. I succeed in mutualizing some of the acceptance and integration test, and improving automatisation.
Integration of supervision tools based on protocol Analysis
Definition of indictors based low level protocol messages. Early adopter of the solution, we brought a lot of the Network Operator knowledge. The indicators I drew served QoS analysis, Fault detection, Marketing purpose, and Fraud detection.
Provides to me the updates in regards of latest possibilities offered by Artificial Intelligence algorithm for BigData analysis. Distributed computing, Cybersecurity, Machine Learning, Deep Learning, NoSQL, Internet Of Things, dataviz.
Acquisition of working knowledge in regards of ticketing, economy of public transportation system, ITS, vehicule to vehicule communication, v2v security.