Summary
Ajay Chawda is a data scientist with 10 years of industry experience, currently applying graph neural networks and ML engineering at Spotixx from Kaiserslautern. His background blends applied research at Fraunhofer ITWM—where he built and documented anomaly detection packages and RShiny dashboards—with hands-on data science work on satellite imagery and climate-related research published at NeurIPS. Early career experience in middleware and operations at Accenture gives him a practical edge in deploying reliable systems and automating workflows. He combines classical methods (gradient boosting, random forests, ensemble and unsupervised feature selection) with modern graph-based modeling, and has built tooling for image annotation and end-to-end data pipelines. Known for bridging research and production, he prefers demonstrable, well-documented solutions that scale beyond prototypes.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Kaiserslautern
Bachelor of Technology (B.Tech.), Computer Science, 7.75, Bachelor of Technology (B.Tech.), Computer Science, 7.75 at Veer Surendra Sai University Of Technology ( Formerly UCE ), Burla
English, Gujarati, Hindi, Odia, German