Session Outline

Natural Language Processing (NLP), an ever-growing interest area in the analytics community, creates big impacts on several domains including the HR domain. It enables transformation of unstructured data into valuable insights with greater operational speed and accuracy to support organizational decision mechanisms. During my talk, I will address an NLP use case in HR and how to build an end-to-end NLP model on survey data by touching on each stage of the model life cycle.

Key Takeaways

  • Introducing an NLP business use case in People Analytics at ING
  • Deep dive sentiment model on survey data
  • Full life cycle of the NLP models (including data preparation, model development, deployment, monitoring, and validation)


Speaker Bio

Busra Cikla – Data Scientist | ING

Busra is an enthusiastic data scientist with a passion for analytics at ING’s People Analytics Team under HR in Amsterdam. She has gained considerable international experience on designing and developing end-to-end advanced analytics solutions to a business problem in three different teams within the organisation during the last 4 years. At her current team, she is responsible for NLP models and ad-hoc analysis on survey data to help the organisation have a healthy working environment. Busra has a background on optimisation and operational research from her B.Sc. study and she is currently pursuing her M.Sc. degree in Data Science, thesis stage.

November 9 @ 13:10
13:10 — 13:40 (30′)

Day 2 | 9 Nov 2022 | MACHINE LEARNING + MLOPS

Busra Cikla – Data Scientist | ING