Summary
Ayon Roy is a data scientist and AI researcher with eight years of experience applying ML and deep learning to real-world problems across retail analytics, satellite imagery, and climate science. Currently a Graduate Research Assistant at Columbia, he builds LLM-orchestrated agents and knowledge-graph powered pipelines to help climate researchers navigate large datasets and literature, while teaching foundations of climate data science. He has driven product-facing R&D at NielsenIQ—combining satellite and tabular data to estimate retail markets globally—and earlier led community initiatives that launched Kaggle Days in India and mentored thousands through cohort programs and hackathons. Comfortable moving models from research to production, he blends theoretical knowledge (ARIMA, LSTMs, NLP, CV) with engineering chops in model deployment and data pipelines. Known for translating complex research needs into practical architectures, he pairs a research mindset with hands-on delivery across industry and academia.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at A State Govt. University in India
Masters Of Science, Data Science, Masters Of Science, Data Science at Columbia University