Angelica Pando
Software Engineer, Optimization & Analytics, AppNexus


As a Software Engineer for Optimization and Analytics, Angelica builds and implements algorithms for AppNexus’ ad transaction optimization systems. Since joining AppNexus in 2011, Angelica has implemented and continues to improve original budgeting and spend pacing algorithms. Previously, Angelica was a software developer working in Research at Deutsche Bank, developing proprietary stock market index investment instruments and providing quantitative analysts with customized equity research tools. Angelica has a Bachelor’s of Electrical and Computer Engineering Degree from Cornell University.


Location: D136 Level: Intermediate
Angelica Pando (AppNexus), Steve Kannan (AppNexus), Dave Himrod (AppNexus)
Average rating: ***..
(3.50, 10 ratings)
We'd like to share our best practices and lessons learned when integrating and scaling Python-based optimization tools with a Hadoop-based data pipeline. In our talk, we'll explore multiple Python-Hadoop integration options, share our evaluation process, and invite an interactive dialogue of lessons learned. Read more.


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