As an Analyst Intern in Sales Analytics at SoftwareOne, Daniel Gapper is at the forefront of data-driven decision-making, playing a pivotal role in optimizing sales operations and enhancing strategic insights. Currently pursuing his undergraduate degree in Computer Science at Washington State University, Daniel has a...
As an Analyst Intern in Sales Analytics at SoftwareOne, Daniel Gapper is at the forefront of data-driven decision-making, playing a pivotal role in optimizing sales operations and enhancing strategic insights. Currently pursuing his undergraduate degree in Computer Science at Washington State University, Daniel has a robust foundation in mathematics that fuels his passion for Data Science and Artificial Intelligence. His expertise in data analysis is showcased through his adept use of Databricks, where he skillfully employs Python and SQL to transform raw data into production-level tables. This meticulous approach not only ensures data integrity but also enhances usability for the sales team.
One of Daniel's key projects involves training predictive models using DataRobot's AutoML platform. By applying these models, he generates actionable insights that empower the sales team to make informed decisions and drive revenue growth. His analytical skills are complemented by strong organizational abilities, enabling him to manage multiple projects effectively while maintaining a focus on detail. Additionally, Daniel's experience in conflict resolution and team leadership, honed through nonprofit volunteering and public speaking engagements, allows him to collaborate seamlessly with cross-functional teams.
Daniel's proficiency in Object-Oriented Programming (OOP) and web development further enriches his technical toolkit, positioning him as a valuable asset in the fast-evolving tech landscape. As he continues to deepen his expertise in data analytics and machine learning, Daniel is poised to make significant contributions to the field, driving innovation and efficiency within SoftwareOne and beyond.
