Mackenzie is the Global Startup Evangelist at AWS. His days are spent traveling the globe to meet startups, share their stories, and connect engineering teams together. Every day there are a large number of startups launching on AWS across every imaginable industry. It’s Mackenzie’s mission to find stories of startups that are helping to improve the world and share these stories with a wide audience.
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Prior to joining AWS, Mackenzie was the Head of Technical Operations at Betterment, the world’s largest independent robo-advisor based in NYC which manages over $8B in assets. Mackenzie was a founding engineer and Head of Technical Operations at Oscar Health, an insurance startup also based in NYC, helping to grow the company to over 400+ employees.
This hands-on workshop is designed to equip participants with the knowledge and skills to leverage AWS No-Code/Low-Code services for predicting the risk of customers defaulting on loans. By leveraging the power of machine learning, attendees will learn how to build and deploy predictive models without extensive coding expertise.
By attending this workshop, you'll gain valuable insights, practical skills, and the confidence to leverage AWS's No-Code/Low-Code services for predictive modeling and risk assessment, empowering your organization to make more informed and data-driven decisions.
This workshop is tailored for professionals in the financial services industry, including:
1. Business Analysts: Gain valuable insights into leveraging AWS No-Code/Low-Code services to enhance risk assessment processes and drive data-driven decision-making.
2. IT Engineers: Explore AWS technologies and learn how to streamline the development and deployment of predictive models, reducing time-to-market and enhancing operational efficiency.
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Attending this workshop will provide you with a unique opportunity to:
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1. Stay ahead of the curve: Gain a competitive edge by learning how to leverage AWS's No-Code/Low-Code services for predictive modeling and risk assessment.
2. Enhance risk management: Develop the skills to build and deploy robust predictive models that can accurately assess the risk of customer loan defaults, enabling proactive risk mitigation strategies.
3. Hands-on learning experience: Participate in interactive, hands-on exercises and receive guidance from experienced instructors, ensuring a practical and engaging learning experience.
4. Networking opportunities: Connect with industry peers, share best practices, and explore potential collaborations or partnerships within the financial services sector.
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