Antony Van der Mude

Member of Digital Health and Analytics Department. Natural Language Processing, Machine Learning.

Member of team that centralizes Data Analytics for the various business units of Philips Lighting into a center of excellence. Responsible for knowledge transfer for a number of projects, such as lighting usage for home and work. Performed data analysis of luminaire sensor data acquisition and processing

Member of Data Analysis team. Wrote natural language processing and machine learning applications in Python (pandas, nltk, numpy) to identify cybersecurity targets and social engineering risks.

Member of Data Analytics/Dashboards team. Wrote Hadoop ETL programs and machine learning tools.

Computer consulting firm for military, medical and consumer products

Designed and rolled out machine learning Algorithms, analyzed speech recognition accuracy, and delivered speech recognition and text-to-speech solutions for AT&T infrastructure.

Part of research and development team for maintaining the user experience of the Bell Telephone system. Built speech recognition and artificial intelligence prototypes for new AT&T services and conducted studies demonstrating accuracy and effectiveness. Provided advanced computer expertise and capabilities bolstering on-time project completion and performed statistical analysis on studies and data collection tasks.