Multivariate Analysis (MVA) uses unsupervised machine learning (Principal Component Analysis) and supervised machine learning (Orthogonal Partial Least Squares) to better understand valuable latent structures within a dataset.
Seeq is a versatile, valuable data analysis and data visualization tool that is able to present and analyze both continuous and discrete data. It has the technical power to let data professionals create seamless dashboards for their users. It also has an intuitive interface to put the power directly into users' hands.
Data insights are only helpful if they lead to improved understanding and actions.
From Edward Tufte trainings in data visualization to Moxie trainings in public speaking, Richards is committed to continuously improving her data visualization and communication skillset.
Richards loves finding efficient, collaborative ways to move systems forward. Her experiences range from local gender-equality initiatives, to global data strategy programs, to serving on the board of directors for a non-profit leadership development program.
Coding skillset includes intermediate R & SQL, as well as basic Python. More importantly, Richards excels at efficiently finding the answers to her coding questions.
With experience in both biology and data science, Richards is able to bridge the two worlds to provided more informed, meaningful analyses and insights.