Professional Experience

Building AI systems that deliver measurable business impact

Career Journey

Lennar

Jul 2025 – Present

Senior Data Scientist

Leading enterprise-scale AI initiatives and MLOps infrastructure for one of America's largest homebuilders.
Key Achievements +
  • Elevated MLOps infrastructure by implementing drift monitoring, automated alerting, and retraining pipelines—ensuring reliability for 10+ production models delivering national-scale forecasts
  • Designed enterprise-scale AI customer service agent MVP targeting 1M+ customers, projected to support $120M+ in warranty exposure management
  • Engineered scalable backend tooling and APIs on AWS to power chatbot workflows and integrate automation into Lennar's core customer experience platform
  • Cross-functional SME supporting analytics, engineering, and operations teams in resolving complex challenges and driving innovative solutions

Lennar

Nov 2024 – Jul 2025

Data Scientist II

Advanced ML solutions and data pipelines supporting executive-level reporting and business optimization.
Key Achievements +
  • Partnered with cross-functional teams to reinvent national direct construction cost reporting, using SQL for data analysis and ensuring data veracity while supporting executive-level reporting in Power BI
  • Applied machine learning and NLP techniques with Python, Scikit-learn, TensorFlow, and Keras to support initiatives such as NPS score modeling and build-to-rent underwriting optimization
  • Developed and deployed scalable ML workflows in AWS and Palantir Foundry with MLOps best practices—supporting production pipelines with drift monitoring, retraining, and automated alerting
  • Partnered with leadership to develop an unstructured data pipeline in Palantir Foundry, leveraging LLMs, OCR, and image-to-table extraction to transform PDFs and scanned documents from an acquired company into structured, tabular data for downstream analytics

Lennar

Aug 2023 – Nov 2024

Data Analyst I

Built foundational AI systems and ML applications for operational efficiency and user experience enhancement.
Key Achievements +
  • Built and deployed an avatar chatbot backend using Retrieval-Augmented Generation (RAG), improving user interaction and operational efficiency
  • Designed and implemented a zero-shot image classification pipeline, automating QA workflows and reducing manual effort
  • Engineered a full-stack Foundry application, integrating ML models to optimize underwriting and operations
  • Developed scalable data workflows and performed ad hoc data science tasks
  • Presented data-driven insights and technical demonstrations to cross-functional teams, including executives and technical staff, driving adoption of innovative solutions

Boeing Distribution Services Inc.

Jun 2022 – Aug 2023

Financial Analyst II

Applied data science to financial forecasting and enterprise system management for aerospace operations.
Key Achievements +
  • Built regression models to forecast accounts receivable and payable, improving financial accuracy and reducing risk
  • Conducted monthly analyses and created dashboards to streamline financial reporting for multimillion-dollar operations
  • Ensured accurate data reconciliation and reporting for enterprise systems managing hundreds of millions in revenue
  • Collaborated with teams to generate ad hoc analyses, providing actionable insights for decision-makers