Randi Clark Email & Phone Number

Manhattan, KS, US

Lenexa, Kansas, United States

• Developed efficient Python and SQL tools to clean and preprocess data, ensuring high-quality datasets for analysis and modeling.
• Combined multiple data sources, including geospatial and time-series data, to construct comprehensive datasets for predictive modeling and analytics, showcasing strong data management skills.
• Leveraged natural language processing (NLP) techniques such as name entity recognition (NER) to extract valuable information from unstructured text data, contributing to data enrichment and analysis efforts.
• Applied time series analysis to predict potential crop yields based on various factors including weather patterns, soil type, and remotely sensed data, demonstrating proficiency in advanced analytical techniques.
• Collaborated with cross-functional teams to develop and deploy predictive models, contributing to data-driven decision-making processes across the organization.

Ames, IA

• Managed inventory and logistics for field and greenhouse research projects, ensuring timely availability of materials and resources for experimental activities.
• Collaborated with interdisciplinary teams to develop data-driven strategies for field research, contributing to the optimization of planting schemes and experimental design.
• Applied statistical methodologies to analyze field data and optimize seed preparation processes, ensuring data integrity and reliability for subsequent analysis.
• Maintained detailed records and documentation of research activities, supporting the creation of robust datasets for analysis and publication.
• Provided technical support and training to graduate students in drone operation and GIS software utilization, enhancing research capabilities and efficiency.
• Implemented Convolutional Neural Networks (CNNs) to classify soybean reproductive stages, training the model to accurately identify soybean buds, flowers, and pods.

Manson

• Utilized data-driven approaches to optimize soil sampling and mapping operations, leveraging advanced statistical techniques and machine learning algorithms for informed decision-making in precision agriculture.
• Applied remote sensing technologies and GIS software to analyze multispectral data and assess crop performance, integrating geospatial analytics with agronomic expertise to enhance yield and efficiency.
• Developed predictive models for nutrient deficiency detection using fixed-wing drones and sensor data, contributing to precision fertilization strategies and sustainable agricultural practices.
• Conducted exploratory data analysis and hypothesis testing to identify key factors influencing crop productivity, collaborating with interdisciplinary teams to develop actionable insights and recommendations.
• Presented research findings and recommendations to clients at industry conferences and trade shows, demonstrating expertise in translating complex data analyses into practical solutions for agricultural stakeholders.

Manhattan, Kansas

• Directed undergraduate workers in soybean seed preparation and experimental setup, ensuring adherence to protocols and safety standards.
• Led independent experiment setup from hypothesis development to data collection, demonstrating strong research methodology skills.
• Contributed to breeding program research by actively participating in planting plots and crossing block activities, supporting ongoing research initiatives.
• Collected and curated accurate data for multiple research projects within the breeding program, facilitating data-driven decision-making and analysis.

Master'S Degree, Agricultural And Horticultural Plant Breeding

Used spectral reflectance indices to characterize drought in soybeans.

Bachelor’S Degree, Agronomy And Crop Science

I worked with the USDA-ARS in the hard winter wheat genetic research unit.