Danielle is a Data Science Strategist at T4G Ltd, where she concentrates on the creation and implementation of industrial artificial intelligence programs with demonstrable impact. She helps clients transform raw sensor data into new insights and data products aligned with their business goals. Undeterred by the messy world of raw sensor data, Danielle is passionate about calibrating sensor data and keeping it in context. Working with architects, data engineers, developers, and visual designers, she adapts approaches and machine learning methods as needed over the life of a project. Her professional background includes energy, retail, healthcare, and government, and she has worked with quantified selfers, biohackers, hacklabs, and makerspaces. She is notoriously unreadable to GSR wearables. In her previous life, Danielle worked with the world’s most sophisticated wearable to date, the hearing aid. Currently, she focuses most of her time on AI programs in the energy sector.
Maritime DevCon 2018
Danielle will speak in the Experience Track with her talk Assess & Address: Dealing with Biased Data.