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
