Advanced Analytics and AI Advisor
Ina is a data scientist and advanced analytics advisor at SAS. She works across industries helping customers on a variety of analytical projects varying from machine learning, natural language processing, and forecasting.
As an analytical advisor Ina focuses the importance of not only building strong analytical solutions, but also finding ways to communicate technical solutions effectively to a variety of backgrounds. Ina has a master’s degree in Biostatistics from the University of Michigan.
|2021||Responsible AI in Practice||FANS Analytics Network Meeting||SAS/FANS|
|2021||Natural Language Processing and Txt Analytics: From ABT to Modelling||FANS Data Science Meeting||SAS/FANS|
|2021||Embedding Results of Analytics in Visual Analytics||FANS Visual Analytics Meeting||SAS/FANS|
|2021||Discovering Analytics From Alternative Fields||SAS Women in Analytics||SAS Women in AI|
|2021||Hybrid Analytical Approach for Operationalizing Credit Card Upsell||Data Innovation Summit||Hyperight|
|2020||Detection of Spam in Text||FANS Analytics Network Meeting||SAS Institute/FANS|
|2020||Applications of Neural Networks in the Field||FANS Programming Network Meeting||SAS/FANS|
|2020||Introduction to Linear Mixed Models||Nordic Data Science Network Meeting||SAS/FANS|
|2020||Visual Text Analytics: How do I make sense of my unstructured data?||SAS Nordic Forum 2020||SAS|
|2020||Voice of the Customer: How to listen to your customers digital conversations and respond in real-time||SAS Nordic Forum 2020||SAS|