  The H-1B visa program is a very important tool for US-based businesses and
educational institutes to recruit foreign talent. While the ultimate decision
to certify an application lies with the United States Department of Labor,
there are signals that can be used to determine whether an application is
likely to be certified or denied. In this paper we first perform a data-driven
exploratory analysis. We then leverage the features to train several
classifiers and compare their performance. Finally, we discuss the implications
of this work and future work that can be done in this area.
