Dan Lott

Dan Lott is a Data Analyst with a background in Computer Science, graduating from the University of Central Florida. He possesses strong skills in problem-solving, data manipulation, and visualization, with expertise in Python and R including numpy, pandas, dplyr, tidyr, reshape2, ggplot2, and plotly, along with proficiency in Object-Oriented Programming. Dan enjoys working with data, creating informative and interactive visualizations, and exploring new insights. His interests lie in Data Science and Machine Learning.

Dan's educational journey includes studying General AA at Valencia Community College, completing the Machine Learning Specialization at Stanford University, and earning a Bachelor of Science in Computer Science from the University of Central Florida.

With a professional history in data analysis, Dan has worked as a Data Analyst at Simpluris, Inc., GE Transportation, and Veritas Technologies LLC.