The ThinkToStart Team

To keep it simple: R makes the world intelligible. Data - as part and results of human interaction - can not be used without intelligent systems and inferential/statistical tools - thus, R provides an optimal framework to get use of the data - or, to understand human interaction. I worked with R for several years and like it. I studied Economics with a strong focus on empirical research methods and behavioral economics. Currently, I work as Research Associate (Doctoral Candidate) at the University of St. Gallen.

I am a programmatic data analyst and R programmer with a focus on big data, digital analytics, API's and data viz applications using the Shiny framework. I like to solve problems programmatically and give consultation conceptually. I achieve both with a heavy background in web development, digital marketing and product management. I bring a entrepreneurial perspective to a company's ecosystem.

Originally a theater critic, born and raised in Czech Republic. Now a geekgirl with huge passion for artificial intelligence, data analysis and comics. Currently working with R for Socialbakers as a social network data analyst at the Research & Development department. Trying to stay the most curious person in the room...

I am an analyst for online marketing with more than a half decade of experience in managing online marketing channels and digital analytics. After studying economics, cultural activities, and creative industries, I started building online marketing departments and realized quickly that future marketing forces should also have programming knowledge. Therefore I have specialized in using R since then, my first choice language for programming, data science, and analysis capabilities. I consider myself as a lifelong learner and I am an avid user of MOOCs.

My international business studies with a Marketing major drove my interest for the digital transformation. Social Media is one part of this change and I hope our blog posts will spark discussions.

I never imagined that I would ever want to be a data scientist (or be remotely qualified to be considered one). Scared of statistics as a student, a non-coder, and convinced that I peaked in math as a sixth grader, it wasn't until I had real-world opportunities to tackle concrete business challenges when I became interested in data mining. Now, I enjoy solving business problems and developing new products in the fields of advertising technology and market research in my work with Campus Explorer. Over the past few years, I have learned how to use Rapidminer, some R and Shiny, and several other tools that don't require programming expertise. I read software manuals and online tutorials (such as ThinkToStart!), watch videos, work with mentors, etc. to learn what I need to know to address the problem at hand. I am living proof that anyone who is curious, willing to fail over and over while learning, and interested in how to harness and make sense of data from all kinds of sources (including social media) can become a data scientist.