Hi, I'm Scott

My name is Scott Davis and I currently work as a data scientist in higher education. I’m blessed to be married to my best friend and to have a front-row seat as our two adventurous, curious, kind children grow and experience life.

The path leading to a role in data science was not a straight one for me. Positions in engineering, teaching, finance, non-profit and R&D exposed me to a variety of ways in which data exists in an organization. Each experience revealed the important role data plays, and I quickly recognized the struggle organizations face trying to extract the most out of the data they collect. This led me to pursue a career in data science.

I am…

• dedicated to family first
• an R enthusiast
• someone who sees the glass as half full
• a fan of the journey over the destination
• much more an early bird than a night owl
• committed to staying mentally and physically active
• a proud alumnus of Saginaw Valley State University and Syracuse University

A well-crafted visualization is one of the best ways to convey complex information - or just a fun way to tell a data story! Decisions involving color, shape, font, opacity and more combine to highlight important insights in the data. The challenge of assembling a compelling visual is something I truly enjoy. View visuals

One of my favorite parts of working with data is bringing it to life for others to experience, learn from and enjoy. As an R user, the shiny package allows me to do just that. Building custom web applications has proven valuable in expanding my data skills and exposing me to languages other than R, such as HTML, CSS, and JavaScript. View apps

Since entering the field of data science, I’ve been blown away by the contributions made within the open source community (R in particular). The creativity and cleverness of new packages I encounter often leaves me amazed. In an effort to experience the package-building process myself, I have created and shared a couple packages on GitHub.

The braingames package is a collection of mental challenges in the form of Shiny apps.

The toddler package provides simple functions to format data frames prior to sharing. Users can add empty rows, add empty columns, stack data frames, and format column names.