Data Scientist and Engineer with experience leading teams, building custom products for diverse business needs, building machine learning and natural language processing systems, and defining corporate data strategy. Over the last few years, I've built and managed Luminant Data, consulting on building more transparent predictive systems. Clients include startups, software companies, media businesses, R&D firms, and international nonprofits. Trained as a Product Designer, I focus on building intelligent products with iterative, testable prototypes on the path to production.
I'm the author of The Open Source Data Science Masters, lead initiatives to combat algorithmic harm and improve transparency, and built a ridesharing NGO in Nairobi.
[Selected Past Talks & Workshops]
BUILDING ARTIFICIAL INTELLIGENCE SYSTEMS
♦ Where Successful Data Scientists Sit // Blog 2015
♦ User-Operated Model-Building Systems // Talk 2015
♦ The Data Science Handbook // Interview 2014
NATURAL LANGUAGE PROCESSING
♦ Intro to Natural Language Processing // Workshop 2016
♦ Hybrid Intelligence: Artificial Assistants // Talk 2016
ALGORITHM HARM & ETHICS OF DATA SCIENCE
♦ The Bias of Data: Algorithmic Harm Talk 2015 + 2016