Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

Muhammad Gulzar
Graduate Student, UCLA


Muhammad Gulzar is a PhD candidate in the Computer Science Department at the University of California, Los Angeles, where he is advised by Miryung Kim. Muhammad’s research interests lie at the intersection of software engineering and big data systems—specifically, in supporting interactive debugging in big data processing frameworks and providing efficient ways to perform automated fault localization in big data applications. He holds an undergraduate degree in computer science from Lahore University of Management Sciences (LUMS) SBASSE in Pakistan, where he was mentored by Fareed Zaffar.


11:50am12:30pm Wednesday, March 7, 2018
Data science and machine learning
Location: LL20 C Level: Non-technical
Miryung Kim (UCLA), Muhammad Gulzar (UCLA)
Average rating: ***..
(3.50, 2 ratings)
Even though we know that there are more data scientists in the workforce today, neither what those data scientists actually do nor what we even mean by data scientists has been studied quantitatively. Miryung Kim and Muhammad Gulzar share the results of a large-scale survey with 793 professional data scientists and detail several trends about data scientists in the software engineering context. Read more.