Model interpretability arrow_forward
Data-Driven Sourcing of Candidates for Recruitment
Submitted by Devashish Sood (@devssh) on Monday, 15 April 2019
Session type: Full talk of 40 mins
We cover how we are using social media data to source candidates and details on how we manage the data-pipeline, trained the models, built the webapp, handled data-security and GDPR and Legal. Our project manages a huge amount(~1TB) of data but is used by a small amount of users.
WebApp - minor overview
GDPR and Legal
I have been working as a Data Scientist and Engineer for the last 2 years and I started off as an Application Developer writing software. I have an online specialization in Data Science from the University of Michigan, a specialization in Deep Learning in Tensorflow/Keras, Numpy from Andrew Ng and Deeplearning.ai and a specialization in Scala-Spark from EPFL.