Omar Mansour

Developing a program that combines Plant Fellow greenhouse sensor data with LLMs to automatically generate cultivation reports for greenhouse growers. The goal is to help growers make easier, more profitable, data-driven decisions by translating sensor readings into actionable insights.

Worked at Vion’s Innovation Hub on a short-term supply forecasting project. Built and compared forecasting models to predict future data with high accuracy and delivered a fully documented, well-structured, easy-to-use Python application for forecasting.

Contributed to early work on a data-driven innovation focused on cyber security and privacy. Processed a large underused dataset for prediction and clustering, and implemented a high-accuracy clustering algorithm to predict users based on historical data.