Maya Sekeran

Forschung im Bereich Verkehrstechnik mit Schwerpunkt auf Studien zum menschlichen Faktor (Human Factors) und Fahrsimulatoren. Verantwortlich für das Datenmanagement des Lehrstuhls

Working on predictive diagnostics for electric vehicle batteries. Ongoing master thesis in the same area specifically on predicting battery end of life.

Worked for the delivery unit of the Ministry of Education of Malaysia to execute initiatives under the Malaysian Education Blueprint (2013-2025) Was involved in the development of a 10 year transformation roadmap that was successfully completed within the agreed timeline and in alignment with the blueprint aspirations Responsibilities included problem solving, engagement with various divisions within the Ministry and ensuring initiatives are being executed and monitored towards completion

Research portfolio covers shipment and pricing data consolidation of hardcopy peripherals encompassing laser, inkjet, serial dot matrix and line printers in Australia and New Zealand. Provide quantitative and qualitative analysis including market forecast and involved in providing insights for consulting projects.

Analyse service desk data to identify performance improvement opportunities. Liaise with operations and suggest ways to improve first call resolutions which includes determining training needs, knowledge script updates, coaching and corrective actions.

Design and develop learning content for SAP end users with MS PowerPoint and SupportPoint. Worked closely with subject matter experts at a global level. Involved in project planning and learning need analysis.

Managed the knowledge base unit of the helpdesk. Liaised with people across the organization to identify and address knowledge gaps. Administered the knowledge portal and designed learning assessments. Led a team of helpdesk personnel. Instrumental in initiating customer e-mail handling guideline. Conducted training sessions for customer e-mail handling personnel.

Machine Learning, Bayesian Networks, Information Retrieval, Recommender Systems, Data Mining. Database Models, Bayesian Networks for Predictive Maintenance, Context Types and Paradigms in CARS, Machine Learning for Self Adaptive Database Management, VLBA, IT Management in Global Companies

Majored in Management Information Systems (MIS) Developed an E-Learning system for lower primary school students using Dreamweaver and SQL as the final year project