Technology & Transformation | Central Data Office Dept. | Data Factory Unit

Central Data Office

Data Science and management:- Client RFP and assignment- Team management- Business Analysis, Project Management- Product management - Master Data Management Program- AI Firm Transformation Program- AWM Transformation Program

Project Manager and Senior Data Scientist, my role is to manage Data Analytics related projects and to develop the Data Analytics department within the Data Services team (Shared Services). My main ongoing tasks are:- management of the Data Science internal platform (Data Analytics projects enabler).- management of the Golden Record project (MDM strategies). - Data Science trainings.As a Data expert, I also contribute to different workgroups such as the Data… Show more Project Manager and Senior Data Scientist, my role is to manage Data Analytics related projects and to develop the Data Analytics department within the Data Services team (Shared Services). My main ongoing tasks are:- management of the Data Science internal platform (Data Analytics projects enabler).- management of the Golden Record project (MDM strategies). - Data Science trainings.As a Data expert, I also contribute to different workgroups such as the Data Intelligence (Data strategy management) and Incubation (Transformation through R&D) think tanks. Show less

Project definition, planning, design, risk analysis, monitoring, project leading, Agile methodologies. Lead research manager on Cloud Computing, Big Data, Internet of Things, Digital Trust.Standardization on Cloud SLA, interoperability and portability. President of ISO/IEC standardization national mirror committee on Cloud Computing.

R, Knitr, Shiny, AWS Cloud, data analysis.HPC workload analysis, large data analysis, data classification, modeling and visualization. Regression analysis, supervised and unsupervised machine learning (clustering, hierarchical trees, PCA, SVM). Cloud pricing models, Cloud performance benchmarking.

R, Knitr, Lightweight Virtualization (Docker, LXC, Vagrant), Ruby, data analysis. Data analysis, HPC application performance analysis. Workflow automation, large scale and scientific experiment reproducibility. Automatic generation of reports.

PhD Thesis defended and obtained 1st October 2013.Title: Workload Traces Analysis and Replay in Large Scale Distributed SystemsTechno/Topics:- Ruby, R, hardware virtualization tools (Xen, KVM, VirtualBox, VMWare), data analysis. - HPC platforms performance analysis, data analysis and workload management. - Workload simulation and experimentation- Virtual machines self-configuration and deployment automation. - I/O benchmarking and optimization.

Perl, Ruby, *SQL, Xen, Agile methodologies.Development, test, integration of resource management system for HPC platforms.Database benchmarking and optimisation, performance analysis, virtual machines deployment automation. Fault tolerance, load-balancing, self-reconfiguring systems.

SOA, MVC, .NET, databases. Development of MVC framework for medical software. Database integration, automatic migration and replication.