Hire the Top Freelance Statistics Developers in the World

Michael is a Machine Learning Consultant and Educator with a technical focus on machine learning and statistical analysis using Python, R, SQL and Shiny. He provides expertise for machine learning, regression analysis and statistics, text mining and social media analysis, time series analysis, Shiny Web Applications and machine learning applications using frameworks such as Keras and TensorFlow. He is a keen researcher and participant in international machine learning conferences.

Qualified Data Scientist specialized in Artificial Intelligence with 7+ years of experience in creative modeling of complex data for classification and prediction using Python and R. Mariel is proficient in Data Analysis and communicating results to audiences with diverse backgrounds. Contributed to multiple research projects, while being a Bioinformatics Ph.D. candidate in the School of Mathematics, Statistics and Applied Mathematics at the National University of Ireland - Galway with peer-reviewed publications in Artificial Intelligence and Bioinformatics.

Chris is a data scientist with a decade of experience split between academic and professional settings. He specializes in creating predictive models to solve unique and interesting problems. He uses his knowledge and expertise to provide data driven guidance that enables businesses to grow and advance. Freelancing allows him to expand his knowledge and work on challenging and unique problems in varied domains.

Mohamed is a Data Scientist providing expertise on the full project lifecycle of data solutions from analytic problem definition through data gathering, analysis, model development, reporting/visualization development, testing, and operational deployment. He applies deep learning and computer vision techniques in building models, performing statistical analysis and creating visualizations to provide scalable solutions on projects.

Jakob is an Engineer turned Data Scientist and Machine Learning Engineer, with proficiency in Python and its frameworks. He has the ability to transform a sea of data into actionable insights that can have an impact on businesses and projects- from building predictive models for various types of cancer detection, to setting-up consumer facing models in the transportation and entertainment sectors, as well as the financial industry. In his role as an Educator in the Data Science and Data Analytics programs, he has shown great communication and mentorship skills, having encouragingly guided his students to achieve high-level technical skills and great professional performance in the industry.