Sahiba Chopra

Job title: 
Data Science Fellow 2024-2025
Department: 
Haas
Bio/CV: 

I'm a PhD student in the Management and Organizations (Macro) group at Berkeley Haas. I have a diverse professional background, primarily as a data scientist across numerous industries, including fintech, cleantech, and media. I hold a BA in Economics from the University of Maryland, an MS in Applied Economics from the University of San Francisco, and an MS in Business Administration from UC Berkeley.

My research focuses on the intersection of inequality, technology, and the labor market. I am particularly interested in understanding how to reduce inequality in organizations and the impact of generative AI on work. When I'm not working on research, I usually practice the sitar or go for walks on the beach with my dog. You can also

Research interests: 

Generative AI, inequality and work

Role: 
Data Science Fellow 2024-2025

Topics

Data Manipulation and Cleaning topic page, Data Science topic page, Data Visualization topic page, Databases & SQL topic page, Deep Learning topic page, Geospatial Data, Maps & Spatial Analysis topic page, Git or Github topic page, Hierarchical Models topic page, HTML / CSS topic page, Javascript topic page, LaTeX topic page, Machine Learning topic page, MATLAB topic page, Means Tests topic page, Natural Language Processing (NLP) topic page, Python topic page, QGIS topic page, Qualitative Analysis topic page, Qualitative Methods topic page, Qualtrics topic page, Quantitative Analysis topic page, R topic page, Regression Analysis topic page, RStudio topic page, Software Output Interpretation topic page, Software Tools topic page, SQL topic page, STATA topic page, Tableau topic page, Text Analysis topic page, Web Scraping topic page

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