Praveen Tripathi

Praveen Tripathi is a Technical Advisor at 73 Strings and is based in New York. He provides guidance on firm’s developments related to Ai, machine learning and other complex algorithms. He is currently working as Assistant Professor in computer science department at Stony Brook University in New York. Before joining academics, he has worked with Philips in the US and Satyam in India (now Tech Mahindra).

Praveen has experience in machine learning, data mining, spatio-temporal data analysis, time series data analysis. His research is focused on:

Topic Modeling and Latent Dirichlet Allocation Problems of finding out the hot spots of activity in trajectory data Directional analysis of trajectory data and trajectory smoothing techniques Multi-Objective Optimization (MOO) using Evolutionary Algorithms (EA) Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) based MOO algorithm The performance of proposed algorithms was compared with existing state-of-art MOO algorithms Data Mining, Pattern Recognition, Machine Learning and Evolutionary Computation Algorithmic trading and related published paper includes : Practical Inter-stock Dependency Indicator using Time Series and Derivatives, Identifying Stock Similarity Based on Episode Distances and Identifying Stock Similarity Based on Multi-event Episodes Praveen is MS in computer science from JNU and PHD in computer science from University of Texas. He was also a research fellow at Indian Statistical Institute.