Jul 2019
22 Mon
23 Tue
24 Wed
25 Thu 09:15 AM – 05:45 PM IST
26 Fri 09:20 AM – 05:30 PM IST
27 Sat
28 Sun
DS
Devashish Sood
@devssh
Data-Driven Sourcing of Candidates for Recruitment
Submitted Apr 15, 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.
Outline
Data pipeline
Models
WebApp - minor overview
Data Security
GDPR and Legal
Requirements
No requirements.
Speaker bio
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.
Links
- Name/Username-based predictions - https://github.com/devssh/GenderEthnicityDetector
- Image-based predictions - https://github.com/devssh/age-gender-estimation
Slides
https://docs.google.com/presentation/d/1KbmFQXFJE8C1Q8OuZa2-Ny_LEBmH9LN2pNEYr_r2RQ8/edit?usp=sharing
Comments
Hybrid access (members only)
Hosted by
Jump starting better data engineering and AI futures
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}