Jackson Rudoff

Data Analyst & Researcher

CWRU & Columbia Alum | Politics, advocacy, language, and data science.

Diverse expertise

Academic and client-facing research, on topics ranging from presidential cabinets to job title categorization. Proficient in Python, R, Spark, and SQL.

Academic rigor

Training in political science, applied statistics, cognitive science, and data science. Proven ability to learn theoretical concepts and practical applications efficiently.

Demonstrated ability

Developer of Shiny apps and Python libraries assist with data processing and client delivery. Methodological leader for new KPIs and audience evaluation metrics.

Projects

Here is a sample of my recent
professional & academic work.
Click on the titles to explore the
projects yourself!

DonoRs

Codebase for ShinyPython app which can process contribution lists from 50+ sources
into a common format. Also available as PlumbR API.

ANESPy

Python package enabling easy and programmatic ingest
of ANES time series supplements. Allows users to quickly
transform ANES objects through inheritence of
Pandas DataFrame methods.

M.A. Thesis

My thesis estimated the effects of restrictive voting policies
on voter turnout in three states using the synthetic control method.
This Shiny app allows users to modify the model's design and
variables to explore how specification affects the model's estimates. Click here to read the paper!