Pranav Parekh

Ph.D

Data Science

Stevens Institute of Technology

Graduate Research Assistant

- Most recently developed a Seq2Seq architecture with a Bi-LSTM encoder and decoder for multi-resident activity - Implemented 3 CNNs, an SVM, and a logistic regression model for different problems in digital health - Deployed autoscaling and on-demand ML models behind Flask APIs on GCP's AI Platform - Performed statistical analysis of data groups using R and Power Query - Interpreted data using Tableau - Created 2 simulations using Unity, 1 using Unreal Engine - Used C# with Unity, and C++ with Unreal Engine for designing simulations, modeling physics, and code progression logic - Contributed to technical writing and presented at 3 conferences: HCII2024, AIVR 2023, and IEEE ICOST 2023