Allie Russel
About Allie Russel
Allie Russel is a Senior Manager of Data Science who advocates for the experimental and practical applications of data science, emphasizing browser-based coding environments like Deepnote.
Allie Russel - Senior Manager of Data Science
Allie Russel holds the role of Senior Manager of Data Science. In her capacity, she enables a focus on the experimental aspects of data science, bringing people into this dynamic phase with an emphasis on experimentation. Her leadership aids individuals in comprehending and navigating data science processes efficiently. Allie's approach is centered around encouraging the broader adoption of data science methodologies.
Data Science Process Expert
Allie Russel specializes in facilitating a deep understanding of data science processes. Her expertise lies in making complex data concepts accessible and in encouraging utilization across varying levels of knowledge and application. By providing clear guidance and support, she helps individuals and teams leverage data science to its fullest potential.
Advocate for Browser-Based Coding
Allie Russel is a strong proponent of browser-based coding environments, having fully transitioned her development setup to Deepnote. She believes that the future of coding is browser-based, citing efficiency gains through seamless code reviews and rapid prototyping. Her preference for Deepnote highlights the value she places on smooth, powerful coding experiences that simplify and expedite iteration cycles.
Experience with Jupyter Notebooks and Deepnote
Allie Russel appreciates the robust experience of running shared Jupyter notebooks and has successfully integrated this into her workflows. She finds working in Deepnote to be highly effective, similar to the concurrent activities of code review and rapid prototyping. This dual capability allows her to save significant time during iteration cycles, making her processes more streamlined and efficient.