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Agentic AI in Finance

Speakers

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Bipin Chadha, PhD

Dr. Bipin Chadha has over 25 years of experience in leading and developing advanced analytics, AI, simulation, and optimization models to solve challenging business problems for a broad range of industries. He has spent the last 15 years in the financial services industry applying data science and AI to insurance, banking, and wealth management use cases. As the VP of Data Science for CSAA Insurance Group, which provides AAA-branded in 23 states, he is responsible for data governance, advanced analytics, and data science.

He established and leads the data strategy and the data office for the organization. He has helped establish and led data science practice at several organizations and has won several awards and patents for data visualization, analytical models, and chatbots. Earlier in his career he was involved in several modeling, AI, and Multi Agent Systems programs for DARPA and other R&D labs. With a recently published book on machine learning and over 50 papers in international conferences and journals, Bipin is frequently invited to speak at industry events. He received his PhD from Georgia Tech, a MS from Southern Illinois University, and a BE degree from IIT-Roorkee. Passionate about education, he enjoys teaching and mentoring students from diverse backgrounds

Awais Bajwa

Global Tech Investment Banker (US & Europe). Built EMEA Software IB practice @ BofA and EMEA Digital Infrastructure IB practice at Barclays. Lead Data & AI @ Bank of America. Based in the Bay Area. Oxford Engineer.

Leonard Hawkes

Aditya Mehra

Steering the Global Funding Investment Technology team at Bank of America, I prioritize harnessing the power of AI and machine learning to revolutionize financial operations. My role centers on leading the development of intricate intercompany loans workflows and engineering groundbreaking integrations with business operations with heavily leveraging Machine learning algorithms. The expertise in Machine learning and system Architecture has been pivotal, enabling robust solutions that elevate the financial tech landscape.

Pranamika Balaji

As a seasoned Product Manager, I bring four years of tech industry experience, excelling in agile development, strategic roadmaps, and cross-functional collaboration. I've crafted 10+ process-enhancing features, internal tools, and consumer products, spurring a 30% increase in user engagement and 20% boost in adoption.

My skills transcend product management, delving into data-driven insights and user-centric design. This fusion resulted in a 15% customer satisfaction rise and 25% churn reduction. Proficient in Python (Pandas), I've applied advanced data analysis methods like Conjoint Analysis, enhancing data-driven decision-making by 40% and cutting project implementation time by 50%.

Driven by innovation, I explore technology in a dynamic, high-octane environment, leveraging my technical prowess.

Tim Yang

Enthusiastic Data Science Manager, Management Consultant, People Leader.

Akhila Yellapragada

Interested in the development of cutting-edge AI technologies at the intersect of finance. Skilled in Java, Python, and C, I strike the perfect balance between collaboration, leadership, and mentorship within any group setting.

Advocate for Women in Tech - I’ve delivered over 75+ talks championing for DE&I in tech and empowering women globally to build their personal brand

Sai Teja Akula

With over a decade of expertise in Artificial Intelligence, I bring extensive experience across the entire Machine Learning lifecycle, steering organizations toward innovative, data-driven decision-making. As Senior Director of Data Science, I play a pivotal role in development of next-generation AI solutions, drive innovation, lead data science team, and boost business performance through strategic collaborations.

Specializing in integrating traditional machine learning techniques to cutting-edge generative AI models, including Large Language Models (LLMs), I thrive on delivering innovative solutions that lead to groundbreaking technological and business breakthroughs in AI.