Alejandro Pineda is a Marketing Data Scientist with 11 years of experience blending computational social science, deep learning, clustering, and time-series forecasting to turn complex data into actionable marketing insights. He holds a PhD from the University of Michigan in Political Science and Scientific Computing, bringing rigorous research methods and experimental design to applied marketing problems. Alejandro has moved from academic research into industry roles at VML and now Vonage, where he builds production-ready models and analytics that inform campaign strategy and customer segmentation. Comfortable across the stack, he pairs statistical rigor with practical engineering—frequently prototyping novel solutions and shipping them into business use. Based in Ypsilanti, Michigan, he’s equally likely to be exploring new unsupervised learning approaches as he is optimizing forecasting pipelines, reflecting a maker mentality summed up simply on his GitHub: “Building!”
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Political Science and Scientific Computing, Doctor of Philosophy - PhD, Political Science and Scientific Computing at University of Michigan
Bachelor's degree, Political Science and Economics, Bachelor's degree, Political Science and Economics at Santa Clara University
Contributions:99 commits, 8 PRs, 73 pushes in 7 months
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