About

Kwame Bernard is a data scientist with extensive experience in analytics and engineering, having worked in the field for almost two decades. He has a strong background in mathematical, statistical, and engineering tools and approaches, and he approaches each project with a bird's eye view to ensure the end goal is met to specification. He has worked in a variety of industries, including media, healthcare, and finance, and is well-versed in the most cutting-edge technologies and techniques in the data science and data engineering industry. Kwame has a diverse skill set and is proficient in programming languages such as Python, R, SAS, C/C++, Java, and UNIX Shell + CLI, as well as cloud computing platforms like EC2, S3, IAM, and VPC. He has experience with data visualization tools such as Tableau, ggplot2, and D3.js, and databases like PostgreSQL, MySQL, MongoDB, and Redis. Additionally, he has expertise in web development, including HTML5 and CSS3. Kwame is currently working as a data scientist at Cormac, where he applies his skills to solve complex business problems. He has previously worked as a data engineer at The Tylt, where he designed mathematical and statistical models and developed and maintained post-stratification code in Python. He also participated in the maintenance of PostgreSQL, MongoDB, and Redis databases and deployed and maintained cloud resources in the AWS ecosystem for compute and networking requirements as they related to analytics within the engineering department. Kwame's education history includes a Master of Science in Predictive Analytics from DePaul University, a Ph.D. in Mathematics from the University of Pittsburgh, and a Pg.Dip. in Financial Mathematics from Cass Business School. He also holds a Bachelor of Science in Statistics from Loyola University of Chicago. Overall, Kwame is a highly skilled and experienced data scientist with a diverse skill set and a strong track record of solving complex business and academic problems. His ability to view problems from multiple angles and find the right strategies and tools for the problem at hand makes him a valuable asset to any team.