Policy Focused:
What can Shakespeare tell us about Digital Organizing? (See Github)
What Robert Williams can teach us about regulating facial recognition, originally posted on AI Global (now Responsible AI)'s blog
Using ArcGIS:
More than $1 million has gone into Pittsburgh’s mayoral race. Where did it come from?, published in local newspaper PublicSource
EPA Toxic Spill Analysis (See Github | Drive)
Using R:
How COVID has shifted equity in the arts (Part 1 | Part 2), created as part of a summer internship with CMU's AMT Lab
Using Python:
Chronic Disease Prediction (See Github), created as a capstone project with Tata Consulting Services
Point of Distribution Site Location Finder (See Drive), created to solve an optimization problem using Python Gurobi
See more here
Mapping Nonprofits in PA (See Github) in Python
How Protests Spread in the US in 2020 (See Github) in R Shiny
South Asian Communities in Allegheny County in Tableau
Classification and Classification with Tree Based Models in R
Decision Trees, Logistic Regression, Neural Networks, Hidden Markov Models, and Reinforcement Learning in Python
Text Analysis, Clustering & Topic Modeling, and Spam Classification using scikit-learn and spaCy
Linear Regression, Prediction, and PCA using Apache Spark
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LGBTQ+ AAPI Day of Visibility Toolkits 2019 | 2020, sent nationally and used widely by AAPI organizations on June 1
Sample instagram posts for AI Global (now Responsible AI): Feedback Loops | AI Urban Dictionary | Robert Williams
Examples of Digital Organizing Training: White Accomplice Training | PICC
Sample newsletter, originally sent after the 2018 midterm elections at WGF
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so very human (prose), originally published in Mirrors I
Liberté, Fraternité, Beyoncé (film treatment), written for Screenwriting class
americana (poem), winner of People's Choice Award for Global Switchboard's digital organizing campaign
Of Shadows and Men (novel excerpt)
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Course Highlights: Database Management, Survey Design, Management Science/Operations Research, Econometrics, GIS, Machine Learning, Critical Analysis of Policy, Watchdog Journalism, Unstructured Data Analytics
Skill Highlights: Python (scikit-learn, Gurobi, spaCy, Apache Spark etc), R (tidyverse, R Shiny), Tableau, ArcGIS (Pro, Insights), Solver
Satvika Neti (she/her/hers) embraces the hyphen and works to bridge the gap between technology and social impact. Satvika graduated in May 2021 with her Master's degree in the MS Public Policy and Management - Data Analytics at Carnegie Mellon University. She is currently interested in full time positions in data analysis, visualizations, and storytelling. You can learn more about Satvika here.
See Satvika's speeches, awards, and recognitions here.
See Satvika in the news here.
Want to work with Satvika? Find out more here.