Lead Data Architect working closely with the the office leadership (CIO, Board Members and Senior Statisticians) on the data infrastructure and modernization strategy and its implementation.Providing Leadership on Data Strategy and Data Infrastructure, working closely with the CIO.Working on a range of Proof of Concepts implementing scalable solutions for data storage, data sharing and general analytics based on commercial and open-source solutions.Supporting the Office in the adoption of modern analytical and data technologies ranging from Big Data and Visual Analytics to Geo-spatial Data Analysis and Machine Learning applications.Responsible for communications to the leadership team and the Office at large to obtain buy-in into proposed solutions, to provide regular updates on status and advancement of projects, to inform and spread adoption of new solutions.Acting as Solution Architect for the Office and managing and maintaining the in-house Hadoop cluster.Tools:Cloudera Hadoop, R-Studio Server, JupyterHUB, SAS, SQL (HIVE-QL, MS-SQL, Sybase-SQL), Linux, Python, Bash, MS Office Suite

Lead for Advanced Analytics and Deep Learning Applications in the Industry.Delivering Data Science projects in collaboration with Government body and International Institutions, acting as Lead/Snr Data Scientist and Project Manager. Design and implementation of data transformation, data clustering, cluster analysis methods and processes.

Main activities: R&D, Pricing and Analytics, Data Architect, Product Development; business communication with senior stakeholders; reporting directly to the US based Chief Digital OfficerData Scientist Management: Led a team of Data Scientists within an R&D environment; co-ordination (as well as hand on development and delivery), of algorithm design, Product Development: Lead for Dynamic Pricing Engine design, including the development and upscaling of the solution from a local to global market.Data Architect: definition of data standards for information exchange and global analytics enablement; design and support in planning data pipelines and systems for dynamic pricing.Principal liaison for collaboration with academia: definition of projects within Data Science scope in HCP, interacting with business and academic stakeholders; enrollment of M.Sc. students

Subject matter expert in predictive modelling for fraud detection and compliance (large private insurances and government revenue agencies).Responsible for project delivery, customer communication, management consulting.Lead for innovation and business accelerators. Design and development of predictive methods for customer segmentation, compliance driver identification, forecasting and trend analysis, data analysis and cleansing, innovative predictive analytics (SAS, R, Matlab/Octave, Python).Lead for collaboration in Innovation with Universities and Research Centres. Managed and defined MSc project on outlier detection in collaboration with University College Dublin.Trainer for R/RevolutionAnalytics: design, build and delivery of training for analysts and consultants.

Designed and prototyped a vertical solution for speech analysis and recognition with applications in forensic speaker analysis and identification. Theoretical approach and technological solutions stemmed directly from my research.

Lead researcher in network inference and reverse engineering. Lead researcher in time-series analysis and clustering.Designed and implemented Artificial Neural Network software modules based on GPGPU hardware and software solutions. Designed and implemented time-series clustering algorithms based on GPGPU hardware and software solutions.

Lead researcher in automatic speaker recognition.Designed and implemented algorithms and software modules for speech analysis, speech characterization and speaker recognition.Recruited candidates for the collection of the CHAINS speaker corpus; coordinated the recordings and publication of the speech material (http://chains.ucd.ie/). Responsible for signal cleansing and signal pre-processing.

Lecturer of "First Engineering: Computer Science for Engineers”, first year B.A. in Engineering.

Lecturer of Experimental Design and Statistics, Master in Cognitive Science

Lecturer, “Artificial Inteligence”, second year Master in Ubiquitous Computing.

Lead researcher in Database Knowledge Discovery.Designed and implemented algorithms facilitating indexing of stellar objects through their emission spectra. Designed and implemented software frameworks for object recognition in support of novelty discovery in databases.

Developed (JAVA) a client/server application: a recommendation system for music compilations. Main activities: client/server interfaces and modules responsible for music recommendations.