Summary
Govinda Dhungana is a Lead Data Scientist with 11 years of experience applying physics-trained quantitative rigor to large-scale data systems, from astronomical survey pipelines to nationwide telecommunications analytics. He designs and ships end-to-end data processing and calibration pipelines, integrates QA metrics and Bayesian/graph-based inference for root-cause diagnostics, and has a demonstrated 20% efficiency gain from image-processing methods developed during his PhD. At AT&T he blends big-data engineering (Spark, Hive, Kafka) with ML, survival and time-series modeling to reduce avoidable dispatches and enable real-time network trouble detection, and previously built spatial and demand-propensity prediction products at SMU DataArts. Known for cross-functional delivery and maintaining production-grade codebases, he pairs deep domain knowledge in experimental astrophysics with practical productization skills that turn research ideas into operational tooling. Based in the Dallas–Fort Worth area, he brings a unique mix of scientific modeling, software engineering and project leadership to complex, noisy-data problems.
11 years of coding experience
7 years of employment as a software developer
Master of Science - M. Sc., Physics, Master of Science - M. Sc., Physics at Tribhuvan University, Central Department of Physics
Master of Science - MS, Physics, Master of Science - MS, Physics at Southern Methodist University
Hindi, English, Nepali