Swetha Pola

Job title: 
Research Fellow
Department: 
School of Information
Bio/CV: 

Swetha (she/her) is a 5th Year Master of Information and Data Science student at the School of Information, with experience in Cognitive Science, Psychology research, and product management. Her research interests include building ethical, transparent AI and the impacts of technologies (specifically, mass media, surveillance, and algorithms of bias) on longitudinal behavioral health. She is happy to help with questions on Python, R, SQL, machine learning, neural networks, statistical analysis, and research design!

Topics: Databases & SQL, Data Manipulation & Cleaning, Data Visualization, Deep Learning, Machine Learning, Natural Language Processing, Qualitative Methods, Surveys, Sampling & Interviews

Statistical Methods: Regression Analysis, Means Tests

Languages: Python, R, SQL, LaTeX

Tools: Tableau, Excel

Github: https://github.com/swethapola

Research interests: 

Drop-in hours: Mon 11-1pm; Databases & SQL, Data Manipulation & Cleaning, Data Visualization, Deep Learning, Machine Learning, Natural Language Processing, Python, Qualitative Methods, Surveys, Sampling & Interviews, R, SQL, LaTeX, Tableau, Excel

Role: 
AMA Research Team
Researcher

Topics

Consulting Topics topic page, Databases & SQL topic page, LaTeX topic page, Machine Learning topic page, Means Tests topic page, Natural Language Processing (NLP) topic page, Programming Languages topic page, Python topic page, Qualitative Methods topic page, R topic page, Regression Analysis topic page, SQL topic page, Surveys, Sampling & Interviews topic page, Tableau topic page

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