Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Maryam Jahanshahi

Maryam Jahanshahi
Scientist, TapRecruit

Website

Maryam Jahanshahi is a research scientist at TapRecruit, a platform that uses AI and automation tools to bring efficiency and fairness to the recruiting process. She holds a PhD from the Icahn School of Medicine at Mount Sinai, where she studied molecular regulators of organ-size control. Maryam’s long-term research goal is to reduce bias in decision making by using a combination of computation linguistics, machine learning, and behavioral economics methods.

Sessions

14:05–14:45 Wednesday, 1 May 2019
The evolution of data science skill sets: An analysis using exponential family embeddings
Data Science, Machine Learning & AI
 Location: Capital Suite 14
Secondary topics:  Media, Marketing, Advertising, Text and Language processing and analysis
Maryam Jahanshahi (TapRecruit)
Average rating: ****.
(4.00, 3 ratings)
Maryam Jahanshahi explores exponential family embeddings: methods that extend the idea behind word embeddings to other data types. You'll learn how TapRecruit used dynamic embeddings to understand how data science skill sets have transformed over the last three years, using its large corpus of job descriptions, and more generally, how these models can enrich analysis of specialized datasets. Read more.