William Chris Beard Email & Phone Number

William Chris Beard is a Staff Data Scientist at HUMAN. He possess expertise in physics, python, matlab, machine learning, data analysis and 10 more skills. Colleagues describe him as "I had the pleasure of managing Chris at Mozilla for over 1.5 years. During this time, Chris grew immensely in his role as a Data Scientist. A strong coder, he has spent time learning various ML methods more deeply while on the team. Not only was he great at tacking complex data science challenges, he was also great collaborator. Always positive, Chris was a joy to have on the team, and was great at at accepting and incorporating feedback into his work. I would highly recommend Chris for any data science team looking to increase the technical level of their team. For any future hiring managers, I am happy to provide more details about my experience working with Chris.", "I worked with Chris on a crash analytics dashboard used to measure Firefox release health. Measuring this kind of stability has been a constant pain point at Mozilla: the volume of data is extremely high, there are many dimensions, there are multiple stakeholders with different needs, and the business requirements are generally quite complex and nuanced. Not only did Chris build and deploy a bayesian regression model for analyzing crash data which overcame some problems we've experienced in the past, he patiently explained these details to a non-data-science audience and adapted his approach to their needs. He also took full responsibility for the ETL portion of the system, which fearlessly aggregates terrabytes of data from our BigQuery store. His approach has proven to be robust and is still in use today. I'd recommend Chris very highly and hope I have the opportunity to work with him again.", and "Chris has consistently shown a thorough attention to detail and high level of data modelling intuition. He is well versed in various modeling strategies from customer lifetime values modeling, hypothesis testing to time series. He is also very experienced in statistical modeling using probabilistic programming languages such as Stan(PyStan,BRMS) and can communicate his models and methods articulately to the layman. Over the years I have worked on on several projects with Chris, and I have greatly benefited from his insightful comments on statistical modeling/computing, programming methods and approaches to putting things into production. He would be a valuable asset to any Data Science team."

Listed skills include Physics, Python, Matlab, Machine Learning, and 11 others.