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Project - Machine Learning in Data Quality Space – Anomaly Detection

Project Description: In the current data age, quality of the data becomes center place for any enterprise data strategy. The issue of poor data quality is hindering organizations from performing to their full potential. Gartner’s data quality market survey estimated that the financial impact caused by data quality issues is in millions. Traditionally organizations have used a combination of manual and automatic methods to tackle this issue in siloed approaches.
In progress

Project - Generating Predictions and Explanations for Business Processes Using Graph Neural Networks

The objective of this project is to explore the use for Graph Neural Networks based predictions that model relevant attributes of the business process and provide explainable predictions. The task of prediction process outcomes and next activity will be explored in this work. A method to evaluate the explanations will also be developed.
In progress

Project - Dashboard for Product Usage Analytics

Analysis of user clicks on the web portal
In progress

Project - Dashboard for testing and implementation of stock market indicators and strategies

To generate meaningful insight from available stock market data
In progress

Project - Dashboard for testing and implementation of stock market indicators and strategies

To generate meaningful insight from available stock market data
In progress

Project - Latent models of Source Code

Understand the latent structure (if identifiable) present in source code and apply it to code understanding tasks.
In progress