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    Raghvendra Kushwah

    Building Data & AI business with Eucloid

    Raghvendra Kushwah is an accomplished consulting leader with a wealth of experience in the fields of Analytics and Digital Transformation, particularly in the domain of Banking and Financial Services. With an engineering degree from IIT Delhi and an MBA from IIM Lucknow, he has risen through the ranks to become the founder of Eucloid Data Solutions and a former Principal Consulting & Practice Lead at Accenture. Currently, Raghvendra runs a Risk Analytics practice, a team of around 30 consultants for Accenture applied intelligence. His practice operates to provide data, analytics and advisory solutions in the areas of Financial Risk (Regulatory & Non regulatory); Model Development, Validation and Monitoring; Financial Crime (AML, trade surveillance, and Fraud).

    Raghvendra's career has seen him focused mainly on Financial Risk and Financial Crimes. However, he has also demonstrated a deep passion for advancements in data ecosystems and artificial intelligence. His expertise covers the complete eco-system surrounding new age data, including data processing, data analysis/science, and data visualization. He is also very well-versed in the latest innovations in artificial intelligence, including machine learning and NLP, NLG, text analytics, network analytics, and graph databases. Both of these interests combine to enable Raghvendra to tackle business use cases of Finance and Risk with the latest in Data and AI.

    Excited about the possibilities of innovative business solutions and business models that have emerged with the emergence of big data and AI, Raghvendra has invested significant amounts of time in the same over the years. His unique solutions leverage digital footprints of customers, for example, Early Warning Signals for the Risk Management, Customer Prioritization for Collection efforts, etc.

    In the next few years, integration of these solutions with ever-increasing supplies of data, including data from the web, mobile, social, IoTs, sensors, etc. will be essential. Businesses will depend on big data and AI tools to make this integration smooth, efficient, and effective, bringing about real digital transformation.

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