Leah Berg and Ray McLendon are Data Scientists at a large financial institution and have over 15 years of combined experience. They have a passion for seeing people grow and become the best versions of themselves. When Leah and Ray graduated from university, they struggled at their first Data Scientist jobs and quickly realized that academia only told half the story.

While their degree programs placed a large emphasis on machine learning algorithms with perfectly cleaned and balanced data sets, they found the opposite true in the industry. Every problem they encountered required 90% of their time spent focusing on messy and imbalanced data sets, as well as the people generating those data sets.

Leah and Ray created Data Science Rebalanced to help data scientists new to the workforce "rebalance" their skills after completing a degree program, bootcamp, or various other trainings. They strive to bridge the gap between academia and industry.