Introduction:
My name is Richard Miller and I am a data scientist and science educator with a background in mathematical physics and computational biophysics. I specialize in statistical analysis, machine learning, deep learning, data visualization, and communicating data insights.
Background:
My work combines my scientific and mathematical background, computational modeling, and practical experience working with real-world datasets. Due to my education in physics and mathematics, I have a strong foundation in statistical reasoning, feature importance, and many data analysis techniques. As an educator, I communicate complex topics to students at various levels of understanding and I actively listen to assess their knowledge and figure out where they need help. I leverage these abilities when working with clients, which allows me to understand a client's needs and to clearly communicate results.
Education:
M.A. Computational Biophysics - University of Denver
B.S. Mathematical Physics - University of Northern Colorado
Expertise:
Data cleaning and preparation
Statistical analysis
Machine learning and predictive analytics
Data visualization and interactive dashboards
Python-based analysis
Statement of Purpose:
I believe that data science and machine learning are powerful tools that can improve the decision-making process and solve real-world problems. My goal is to assist organizations that are trying to improve their communities, advance research, or make better decisions with the data they collect. I am interested in supporting research groups, educational institutions, local governments, and nonprofit organizations that are dedicated to creating a positive change in the world around them.