Social impact-driven data scientist who is passionate about driving better business and policy decisions.

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Cleaning messy datasets in base R

Interactive plotting and data exploration with RShiny

Review of recent advances in sentence embeddings

Dashboard to filter and detact patterns in geospatial data

Samples of static data visualization in R

Computer vision and natural language processing to identify demographic differences in topic engagement

Identifies regions underserving target demographics with road network analysis

Neural networks, clustering, SVM, GBM, and ridge regression to predict energy generation

Web portal allowing users to find information about and get directions to local public services

R package for calculating and visualizing time series multivariate kernal smoothing

Presented and won an award at COP 23 in Bonn, Germany as part of the United Nation’s Data for Climate Action Challenge

Linear and nonlinear modeling of longitudinal and skewed datasets in R

R package for neural information retrieval to automate policy summarization and analysis

Deep learning framework for jointly learning extractive summarization and multi-label text classification

Interactive web map allowing users to monitor urban inclusivity at the neighborhood scale.