Data Science + Design Thinking : A powerful combination

Data science methodologies such as CRISP or KDD are used as standard processes for quantitative analysis, providing a structured procedure for handling large and diverse data sets. However, these methodologies can be improved upon. This presentation proposes a hybrid methodology for combining elements from qualitative research (such as personas) in order to improve statistical analysis and provide a deeper understanding into problem setting, using example scenarios from the financial industry.

In this talk we will ...

• Reflect on the current standardized methodologies used for quantitative research methods (aka statistics/data science) like CRISP / KDD and how they perform in real life
• Analyze how to embed elements from qualitative research methods to enhance the data science process
• Set the seed for the need of a new methodology
• Open up for ideas/questions

About the Speaker:

Laura Gabrysiak is a Data Scientist at Visa where she develops statistical models and user-friendly decision analytics tools to help customers get the most out of their data. She is the co-founder of R-Ladies Miami, a worldwide organization for promoting diversity in the R community with more than 100 chapters in 35+ countries. She likes to mentor and shares her knowledge through mentorship programs, tutorials and talks.

She has 6 years of professional experience in Business Analytics and User Research in both academia and industry. She has worked with several startups where she helped building teams, developed business analytics strategy and implemented statistical models to gather user intelligence with help of techniques from design thinking. Education: Msc. Information Systems - dschool HPI Alumni.

Admission: Free!

Parking: TheVentureCity has a rear lot with free parking, accessible via 9th St. Otherwise, you may use metered parking on 8th St.