Bilal joined Teradata as a Professional Services Data Science Consultant in 2016. In his role he is worked with the local team to show-case value for businesses to adopt analytics and solve various business problems with the help of data-driven insights and predictive modeling. Initially focused on financial sector, Bilal consulted on problems credit Risk scoring, branch/ATM cash optimization, Next Best Offer analytics etc. Later as he joined the Global Delivery Consulting arm, his portfolio diversified to include wide range of industries including, utilities, retail, telecom, healthcare etc.
With a specialization in speech & text processing, Bilal pursued academia and advanced study focused on research topic in natural language processing. Prior to joining Teradata, he worked as a Research Associate with a globally leading research group in Natural Speech Technology, an EPSRC grant shared between Edinburgh Univeristy, Sheffield University, and University of Cambridge, while based out of Sheffield. He made significant contribution to speech technology working in collaboration with BBC news, and the NHS to build advanced speech recognition systems for disabled speakers. During his tenure in Teradata, Bilal continues to work as domain lead in text processing, having worked with customer on question answering systems, healthcare records information extraction using NLP, topic modeling etc.
With a specialization in speech & text processing, Bilal pursued academia and advanced study focused on research topic in natural language processing. Prior to joining Teradata, he worked as a Research Associate with a globally leading research group in Natural Speech Technology, an EPSRC grant shared between Edinburgh Univeristy, Sheffield University, and University of Cambridge, while based out of Sheffield. He made significant contribution to speech technology working in collaboration with BBC news, and the NHS to build advanced speech recognition systems for disabled speakers. During his tenure in Teradata, Bilal continues to work as domain lead in text processing, having worked with customer on question answering systems, healthcare records information extraction using NLP, topic modeling etc.
