My team develops generative AI models for enabling intelligent workflows.

Working on large language model architectures and applications. LLM training, fine tuning and deployment for building user facing applications.

Head of Data for CredAvenue Collections Vertical. End to End ML solutioning for collections to enhance collections efficiency while simultaneously increasing Bank NPS.

Transitioned the peer to peer lending system towards automated machine learning based decision making.

Analytics head of Project Insight - I led a team of 20 + data scientists, data engineers and economists, who worked on revolutionising the Income Tax landscape of India - by integrating Machine Learning and statistical predictions into the functioning of the Income Tax Department. I specialized in managing applied Machine Learning projects, applied Computer Vision projects, and have contributed significantly to the development of the Network Science based innovations, as a experienced Network Scientist.My team developed the models for predicting, amongst other - financial disclosure fraud, tax evasion, and fraudulent financial activities taking part in India.

In this role I spearheaded the transition of VIRE family office to Data Science Based Decision Making across the value chain. My team set up automated reporting, analytics and data driven decision guidance for the company in their India/China offices.

I worked on business loans portfolio, directly responsible for underwriting model for the UK loans market. In co-ordination with the Scotland based leadership team, my team worked on creating statistical models to better forecast the revenues from the dwindling home loan segment of the wider business.While working in this position, I independently came up with the idea of a reverse mortgage, which is a sympathetic sustainable model of home loans underwriting, if banks allow for longer mortgage horizons.

Initiated and led projects on underwriting within the credit card acquisitions business specializing in Subprime credit, Bankruptcy laws and liabilities, Judgmental and model-based underwriting.Product strategy is the first line-of-defense against adverse customer experience. It ensures in-market success and circumvents ad-hoc shortfalls. As part of my role, I specialized in -1. Marketing and Acquisitions2. Product Design and execution3. Valuations