Summary
Rijul Nandy is a data scientist with 8 years of experience combining academic rigor from an MS in Computer Science at NYU with hands-on production work in insurance, logistics, and geospatial analytics. At Skyward Specialty Insurance he progressed from intern to data scientist, delivering ETL automation, interactive Power BI dashboards for underwriters, and a bind-probability model that achieved an AUC-ROC of 0.80. His prior work spans building a custom dataset reduction algorithm that cut sensory PVT data by over 90%, predictive maintenance models for airport equipment, and semantic segmentation of high-resolution satellite imagery (co‑author on a published paper). Comfortable with end-to-end pipelines, he blends statistical/Bayesian inference, tree-based models, and custom spatial visualizations (QGIS, custom Python mapping) to turn messy data into operational insights. Based in New York, he favors pragmatic solutions that prioritize data quality and interpretable models for stakeholders.
8 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Delhi Public School Noida
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Thapar Institute of Engineering & Technology
Master of Science, Computer Science, Master of Science, Computer Science at New York University