Bhim Chaulagain
Crop Modeler | Data Scientist | Agronomist | Fungicide Characterization | Disease Resistance Breeding | Crop Health Product Development | Associate Editor, Plant Disease
- Role
- Agronomic Crop Modeler at BASF
- Location
- Durham, NC, US
- LinkedIn followers
- 500 followers
About Bhim Chaulagain
Agronomist with 10+ years of experience in designing and executing field research trials,…
Experience
Agronomic Crop Modeler
Nov 2020 — Present · NC, US
Development and optimization of predictive algorithms and data-driven decision-making tools to optimize the spray timing feature of Field Manager for the North American and LATAM Corn and Soy markets. In addition to algorithm development, I deployed models into production, tested QA interfaces, and automated workflows, while implementing version control for scalable data pipelines.Optimized and designed KPI approaches to model performance evaluation, and protocols for trial data collection on crop disease, susceptibility, maturity group, phenology and yield. Networked trialling operations to ensure accuracy, consistency, and actionable insight. Did analytics on multi-environment data for assessing the agronomic management practises and varietal effects on disease and phenology including treatment mean comparison between Farmer’s practise, Field Manager, Expert and untreated control using linear mixed model approaches.Coordinated and summarized research projects, then translated the findings into actionable strategies to enhance the implementation of improved products.Served as the SME for field solutions, supporting sales and customer teams through training and presentations on spray timer features, product recommendations and application techniques.
Education
University of Florida
Doctor of Philosophy - PhD, Plant Pathology/Phytopathology
2014 — 2019
Institute of Agriculture and Animal Science, TU
Master's degree, Plant Pathology/Phytopathology
2009 — 2011
Skills
- Plant Disease Diagnosis and Management
- Sustainable Agriculture
- Agriculture
- R Programming Language
- Molecular Biology
- Science
- Statistics
- Research
- Plant Disease Epidemics and Modelling
- Phytopathology
- Data Science and Statistical Inferences
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