Ajay is part of the Data Science Unit. He has vast experience in delivering Analytics and Data Science solutions. Previously, he has worked in Telco, Financial services, Healthcare, Consumer, Retail, Education, and Food Sectors. He is a highly experienced Data Scientist and is an AWS Certified Cloud Solutions Architect and an AWS Certified Machine Learning Specialist. He has worked on several key strategic & data-monetisation initiatives for the organisations in the past with Technical/Management skills in business intelligence, data warehousing, reporting and analytics. He has a background in Computer Science.
His core interests include Opacity in AI Systems, Applied AI, Machine Learning, Deep Learning, Reinforcement Learning, Optimization, Big Data, Algorithmic trading, Natural Language Processing, and Computer Vision.
In the past, he has successfully delivered Natural Language Processing (NLP) and Computer Vision (CV) solutions and has designed large-scale recommendation engines. He has extensive experience of credit risk and fraud modelling, building explainable forecasting models, marketing analytics, customer & campaign analytics. From his experience working on several real-world problems, he fully acknowledges that finding good representations is the key in designing the system that can solve interesting & challenging problems, that go beyond human-level intelligence, and ultimately explain complicated data for us that we don’t understand. To achieve this, he envisions learning algorithms that can learn feature representations from both unlabelled and labelled data, be it guided with and/or without human interaction, and that are on different levels of abstractions in order to bridge the gap between low-level data and high-level abstract concepts.
He has also lead the team of data analysts, data engineers, ML engineers, and data scientists in the past.