Senior Staff Data Scientist within GWS (Global Wafer Systems)Previously DSG (Data Science Group)-Development and testing of Deep Learning architectures to solve complex manufacturing challenges. Specifically, in the area of multivariate time series anomaly detection and classification. -Mentoring graduate new hires and temporary internships. Training and upskilling on Data Science applications and methodologies within Manufacturing-Data Science Champion with the goal of increasing awareness and engagement of the business with advanced analytics opportunities.-Foster external collaborations specifically with local Higher Education bodies.-Supporting Project Athena and the creation of Seagate's AI Edge platform - Project Athena & AI for the Factory FloorTechnologies: Python, Keras, Tensorflow, Docker, R, SQL, KNIME

Staff Data Scientist within DSG (Data Science Group*)(*Formally OTAAG - Operations and Technology Advanced Analytics Group)-Development and testing of Deep Learning architectures to solve complex manufacturing challenges. Specifically, in the area of multivariate time series anomaly detection and classification. -Mentoring graduate new hires and temporary internships. Training and upskilling on Data Science applications and methodologies within Manufacturing-Data Science Champion with the goal of increasing awareness and engagement of the business with advanced analytics opportunities.-Foster external collaborations specifically with local Higher Education bodies.-Supporting Project Athena and the creation of Seagate's AI Edge platform - Project Athena & AI for the Factory FloorTechnologies: Python, Keras, Tensorflow, Docker, R, SQL, KNIME

Ulster University Doctoral College Board representative for Magee campus.

Roles, Responsibilities and Expectations: - Creation of Global Data Analytics Strategy - Mentoring of new and existing staff in Data Science and Machine Learning- Determination of Technology road map for Analytics and workflow automation - Facilitate adoption of Data Science and workflow automation methodologies - Develop training and support to upskill staff for Industry 4.0 initiatives - Collaborate with key stakeholders to determine architectures that enable Digital Transformation - Communicate strategy and high priority initiatives to Senior Leadership Team

Having responsibility for the data collection, analytics and control strategies of complex state of the art electro-mechanical manufacturing systems, liaising with engineers, technicians and worldwide equipment suppliers. Utilising excellent problem solving, communication and organisational skills, identifying and leading projects to improve process control and production throughput by driving advancements in machine capability, reliability and predictability.Technologies and Methodologies implemented:Predictive Analytics, Anomaly Detection, Machine Learning, Prince2 Project Management, SPC - Statistical Process Control, Factory Automation, Six sigma, R, C#, SQL, Shiny, SASResponsibilities- Collect, analyse and scientifically interpret Tool performance trends or patterns in complex data sets using statistical methods, advanced analytics and Machine learning techniques to drive more effective decision making, automation and smart manufacturing.- Develop and implement Tool data collection to identify Tool performance opportunities.- Create visualization and dashboard tools to provide advanced analytics to the wider Factory community. - Develop primary or secondary tool data collection through the implementation of PLC hardware and software integration to improve Tool performance.- Implement Tool control strategies using factory automation to increase Tool performance metrics.- Continuous improvement to reduce Tool failures by introducing new Engineering projects.- Maximising equipment throughput and yield performance.- Liaise and participate in cross-functional teams in projects, while collaborating and communicating with Seagate sites in the USA & Asia.

- Program manager of Seagate SeaCAPs application. SeaCAPs is Seagates' Enhanced Workflow Automation Platform with Integrated Analytics for semiconductor wafer manufacturing.- SeaCAPs Workflow is an automation platform through which we manage events generated by the factories integrated systems (SPC, Fault Detection Platform, Manufacturing Execution Systems & Dispatching Architectures, Advanced Process Control - Run to Run).- The environment facilitates the hosting of Analytics real time in the manufacturing environment by integrating with SeaCAPs the internal workflow application. - Responsibilities include defining product & technology road maps, communicating between Manufacturing sites in America & Asia, coordinating multi-site projects.Technologies and Methodologies implemented:Predictive Analytics, Anomaly Detection, Machine Learning, Project Management, SPC - Statistical Process Control, Factory Automation, Six sigma, R, C#, SQL, Shiny, SAS