Anam Khanzip (2025)

, a researcher at the University of Michigan's Institute for Social Research , developed a highly useful feature for data scientists: a ZIP-code-to-ZCTA crosswalk code .

: Since ZIP codes (used by the Post Office) do not perfectly match Census "ZIP Code Tabulation Areas" (ZCTAs), this tool acts as a critical bridge for accurate geospatial analysis. 2. Smartphone "Optimization" Feature Anam Khanzip

: Uses Deep Convolutional Neural Networks for real-time identification. , a researcher at the University of Michigan's

In social media contexts, an individual named has shared viral tips regarding a "useful feature" for optimizing phone charging . Anam Khanzip

: This code allows researchers to merge neighborhood-level data from the National Neighborhood Data Archive (NaNDA) with individual-level datasets that only contain standard residential ZIP codes.