Summary
Gendith Sardane is a senior data scientist in Austin with 11 years of cross-disciplinary experience applying physics-grade rigor to product and analytics problems across Talent.com, Coinbase, and Indeed. He leverages a Ph.D. in Physics and deep expertise in Python, SQL, machine learning, and statistical modeling to build predictive systems, optimize product metrics, and extract signal from noisy observational data. His background as an astrophysicist and project lead on multi-object spectroscopy programs informs a pattern-recognition mindset and experience with large survey pipelines and spectral classification. Gendith has translated academic techniques—maximum likelihood analysis, advanced optimization, and custom data-processing pipelines—into production-ready solutions for internet-scale products. Colleagues rely on him to bridge research and engineering, turning complex models into practical, measurable improvements.
11 years of coding experience
14 years of employment as a software developer
Master’s Degree, Physics, 3.9, Master’s Degree, Physics, 3.9 at University of Florida
Doctor of Philosophy (Ph.D.), Physics, 3.8, Doctor of Philosophy (Ph.D.), Physics, 3.8 at University of Pittsburgh
Bachelor’s Degree, Physics, 3.8, Bachelor’s Degree, Physics, 3.8 at University of the Philippines
English, Filipino, Cebuano