Mogital analytics people are highly skilled analytical experts with advanced degrees who utilize their skills in both technology and sciences to find trends and manage data. We’re committed to solving complex business challenges using the latest technology and data resources, combined with our creative and collaborative strategic approach. Learn more about some of our talented professionals below.
Osei Tweneboah, Ph.D
Founder, Principal Data Scientist
Osei is an Assistant Professor of Data Science at Ramapo College of New Jersey, specializing in Machine Learning, Stochastic Analysis, and Scientific Computing with applications to big data analytics and complex data sets arising in Finance, Public Health care, Geophysics, etc.
Osei is an accomplished researcher with more than 20 peer-reviewed articles in Data Science and Statistics, Computational Science, and Applied Mathematics. He teaches Applied Statistics, Data Analytics in Python, Data Analysis and Visualization, Machine Learning, and several other courses at the undergraduate and graduate levels at Ramapo College.
Osei attended the University of Texas at El Paso, where he received his Ph.D. in Computational Science, M.S. in Mathematics, and a Graduate Certificate in Big Data Analytics.
Linda is a Doctoral student at the University of Utah within the Department of Population Health Sciences with an emphasis in Biostatistics. Her research focuses on developing methods for analyzing multicollinearity among multiple exposures and causal inference in multi-stage modeling. She has cross-disciplinary expertise in Statistics, Data Science, and Biostatistics.
Linda is currently a graduate research assistant at the CCTS Study Design and Biostatistics Center at the University of Utah School of Medicine. In her collaborative research, Linda has worked on observational and experimental studies using various statistical modeling techniques.
Linda received her M.S. in Statistics from Northern Arizona University.