AIM for Self-Employed: Digital All the Way
View our engaging on-demand webinar where you’ll get to explore two groundbreaking tools, Freddie Mac’s Asset and Income Modeler (AIM) for Self-Employed, and CoreLogic’s AutomatIQ Borrower Income Analysis.
What to you can expect from this on-demand webinar:
- Uncover how AIM for Self-Employed can streamline your lending process
- Discover how AutomatIQ Borrower Income Analysis can revolutionize your income analysis methods
- Get exclusive insights directly from industry leaders Freddie Mac and CoreLogic
- Find out how these tools can create a positive impact for your company and your borrowers
Sr. Vice President of Alliances & Industry Relations at CoreLogic
Scott Severe is the Senior Vice President of Alliances and Industry Relations at CoreLogic, where he is focused on the Digital Hub Alliance and key industry relationships. Previously the Chief Customer Officer at Next Gear Solutions, he has more than 25 years of experience in the property restoration industry — in which he has served as an executive, consultant, entrepreneur, and small business owner.
Sr. Leader, Product Management, CoreLogicEric Prosperi is the product leader for the CoreLogic AutomatIQ Income Analysis solution. He joined CoreLogic in 2018 after 14 years of work in the Mortgage Industry covering projects and operations in Production, Servicing, Default Servicing and Master Servicing. He is a Mortgage Banking Association Future Leader Program alumni and a Lean Six Sigma Master Black Belt.
Senior Business Tech Lead, Single-Family Seller Engagement, Freddie Mac
Pratima Giri is a Sr Business Tech Lead within Freddie Mac’s Single-Family Seller Engagement Team. Pratima works with Freddie Mac Sellers to maintain in-depth understanding of their operations and technology trends, as well as Freddie Mac’s strategic objectives and technology solution roadmap. With data driven methods, Pratima helps sellers identify opportunities and create custom strategies to help adopt and optimize new tools and functionality. Prior to her time at Freddie Mac, Pratima worked as senior technology consultant for large federal agencies supporting enterprise-wide applications. With her technical expertise and industry knowledge, Pratima aims to be a trusted advisor for the sellers, sharing industry best practices to help reduce loan cycle time and produce high quality loans.
Senior Manager, Credit Innovation & Analytics, Freddie Mac
Lewis Perez is a Senior Manager within Freddie Mac’s Credit Innovation & Analytics Team, part of Single-Family Risk. In his role, Lewis works with Freddie Mac Sellers and Partners to automate borrower capacity assessment using Asset Income & Modeler (AIM). With the data-driven methods, Lewis leads data quality certification of new AIM partners, and helps sellers identify opportunities to adopt and optimize AIM tools and functionality. Prior to his time at Freddie Mac, Lewis worked as a product manager for a large financial institution, supporting the lending activity of a retail branch network in the greater District of Columbia (DC) area. With his expertise and industry knowledge, Lewis aims to be an advocate of using verified data from trusted service partners, to mitigate the risk of originating loans and bring efficiency and cost savings to the industry.
National Trainer, Client Education Services, Freddie Mac
Chris Cho is a National Trainer in Client Education Services within Freddie Mac’s Single-Family Strategic Delivery, Data, Operations and Technology division. He designs and facilitates training material on Single-Family origination topics including Loan Product Advisor® (LPA℠) and Loan Product Advisor® Asset and Income modeler (AIM) for Freddie Mac Seller/Servicers. As a mortgage veteran, Chris has served in various roles from closing, processing, underwriting, training, and channel management with several companies before joining Freddie Mac in 2021 as a National Trainer. Chris uses his real-life experiences and knowledge of the Seller/Servicer Guide to provide a training experience that delights clients.