Adverse Media Detection: Responible for scraping, storing, processing, analyzing and detecting financial fraud from news articles using NLP algorithms for due diligence checks.

Knowledge Graphs: Constructed a knowledge graph of people and organizations for extracting relations with adverse entities using Neo4j

Hamiltonian Neural Networks: Enhanced Neural Networks with intuition about Hamiltonian Mechanics for forecasting the trajectories of a particle in a square billiards system with upto 95% accuracy. Representation Learning: Inspected the Networks to obtain an internal knowledge representation which confirm to the conclusions drawn using rigorous analysis using Autoencoder Networks Key Concepts: Representation Learning, Dynamical Billiards, Hamiltonian Mechanics, Neural Networks, Autoencoders

High Entropy Alloys: Applied machine learning algorithms to predict the phase of alloys obtained by mixing metals of different Atomic Properties Phase Prediction: Predicted compositions of prospective Alloys carrying high economic value with exotic properties among random combinations, extrapolating from the compositions of 610 such High Entropy Alloys Key Concepts: Anomaly Detection, High entropy Alloys, Density Functional Theory, Classification