Summary
Yashashwini Gupta is a Principal Data Scientist based in New York with 10 years of experience building production-scale ML and data solutions across logistics and finance. With an MS in Computer Science from NYU, she has advanced from hands-on internships to leading data science at Brambles, developing robust ETL, geolocation and dwell-detection algorithms in Spark and scalable solutions for Wi‑Fi-based asset tracking. Her background spans applied ML — from perceptual hashing and Siamese networks for image verification to optimizing LightGBM in C++ — giving her both research rigor and pragmatic engineering chops. She is comfortable working across the stack (Spark, TensorFlow, Scala/Akka, AWS) and has repeatedly translated noisy sensor and streaming data into actionable operational insights. A detail often overlooked: she pairs classical signal-handling approaches (RSSI, rolling-median anomaly detection) with modern deep learning to solve real-world asset-tracking problems at scale.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Engineering, Bachelor of Technology (B.Tech.) Computer Engineering at SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York University
Nanodegree Artificial Intelligence, Nanodegree Artificial Intelligence at Udacity
High School Physical Sciences Mathematics, High School Physical Sciences Mathematics at R. N. Podar School
English, Hindi