Areas Vanessa Nielsen is Knowledgeable in:
Precision agriculture, plant biology, and data visualization
Techniques Vanessa Nielsen Uses:
Academic research, machine learning, testing, programming
Vanessa Nielsen's Problem Solving Skills:
- horticulture
- LED lighting
- technical writing
- statistical models
- data analytics
- R programming
- digital agriculture
- precision agriculture
- genetics
- breeding
- plant biology
Vanessa Nielsen's Problem Solving Experience:
- - Uncovered agricultural production inconsistencies and suggested remediation methods; reduced crop growing condition variability by 22%
- - Built proof-of-concept ML algorithms using regression, random forest, and time series forecasting techniques
- - Automated the generation of key metrics (KPIs) and visualizations by building a custom analytics package in R that reduced generation time by 40 mins/report
- - Created novel KPIs for clients in an emerging industry and published in industry magazine
- - Developed new seed selection methods that theoretically cut time-to-market by 1/3 and increase yields 5% by using breeding, geospatial, and remote sensing data