Team Name Scrappy Number 2  Track Banking Use Case Automation of our Loan Approval and Underwriting Processes. We want to leverage OCR to scrape text from various underwriting documents, use data quality and match codes for matching, improve banking transaction parsing and improve our time to fund. Technology Open Source OCR SAS Visual Text Analytics SAS VDMML SAS Intelligent Decisioning HTTP,XML,JSON packages Region Toronto, Ontario, Canada Team Members Elmar Taghizade - Risk and Analytics Dorrian Khouri - Real Estate and PM Crysi Popowich - Channel Enablement Alicia Liberty - Central Loan Approval Guilherme Ferreira - Channel Enablement and Insights Namrata Ail - Channel Enablement Surya Surya - Risk and Analytics Katelyn Paterson - Central Loan Approval John Jonkman - Central Loan Approval Is your team interested in participating in an interview? Yes Optional: Expand on your technology expertise SAS 9.x - 10 Years SAS 3.5 - 3 Years Python - Varied   Pitch Video:     Jury Video:       ... View more