Pivot Bio

As a data science consultant for Pivot Bio, I was tasked with evaluating the effectiveness of their innovative nitrogen delivery system. This project aimed to understand how environmental factors influence the performance of their product, which microbiologically delivers nitrogen to crops. By leveraging statistical methods and data analysis, I sought to provide insights that would enhance the product's application in various agricultural contexts.

The analysis involved collecting data from multiple field trials, focusing on key variables such as soil type, moisture levels, and crop health. By employing advanced statistical techniques, I was able to identify patterns and correlations that informed the optimal conditions for nitrogen delivery. This work not only contributed to the understanding of the product's effectiveness but also supported Pivot Bio's mission to improve agricultural sustainability.

The project commenced with a thorough review of existing data and methodologies used in previous trials. I collaborated closely with agronomists and field technicians to design a robust data collection framework that would capture relevant environmental variables. This collaborative approach ensured that the analysis was grounded in practical agricultural insights, leading to more actionable recommendations.

• Conducted statistical analysis to evaluate product performance across different environmental conditions

• Developed a comprehensive report detailing findings and recommendations for product optimization

• Collaborated with cross-functional teams to ensure alignment on project goals and deliverables