TerraFlow
Project Overview
TerraFlow revolutionizes real estate management by automating lead qualification, property matching, and client follow-ups. It leverages predictive analytics to identify high-value prospects.
Key Challenges
- • Integrating with legacy MLS systems and normalizing disparate data formats.
- •Creating accurate predictive models for property value trends.
- •Building a mobile-first experience for agents on the go.
Strategic Solutions
- •Built a robust data ingestion pipeline using Python and Airflow.
- •Developed a hybrid mobile app using React Native for cross-platform support.
- •Implemented automated SMS and email workflows using Twilio and SendGrid.
Measurable Impact
- •Increased agent lead conversion rates by 25%.
- •Reduced administrative overhead by 40% through automation.
- •Processed over $500M in property transactions in the first year.
Project Details
- IndustryEnterprise CRM
- Timeline8 months
- Team6 members
- RoleFull Stack Engineer
Technologies
ReactPythonFastAPIPostgreSQLDocker
"The predictive matching feature creates opportunities we didn't even know existed."
Concept Study — In Development