Luca Coppi
Senior Computational Scientist @Nutrien Ag Solutions
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WORK HISTORY
Senior Computational Scientist @Nutrien Ag Solutions
Developed, calibrated and validated proprietary agricultural model.• Gained deep understanding of crop models Aquacrop (FAO) and SWAT-CropSyst-C Farm.• Contributed to sensitivity analysis of proprietary model.• Lead calibration experiment of Daycent model that resulted in providing informed knowledge to company leadership regarding carbon offset market from GHG reduction strategies in agriculture.• Lead technical improvement of proprietary variable rate input recommendation system.• Communicated products and findings at internal and external international conferences.
EDUCATION
Università degli Studi di Firenze
Master's Degree, Agriculture
University of Calgary
Machine Learning
University of Calgary
Spanish Language
University of Manitoba
PhD, Soil Science
University of Calgary
Python Level I
University of Calgary
SQL for Database Management
Dilmer School Istanbul
Certificate, Turkish Language
University of Calgary
Python Level II: Python for Data Analysis
University of Waterloo
Foundations of Data Science
Università degli Studi di Firenze
Russian Language
Ministry of Foreign Affairs- IAO Florence
Professional Master, Geographic Information Systems
ABOUT LUCA COPPI
Proved experience of 15+ years as a soil and data scientist. • Thrives leading and collaborating within a diverse team. • Excellent written and verbal communication skills demonstrated in conferences and publications. • Organized, hard-working, dependable, and punctual. Analytical and problem-solving attitude. • Science Skills: Agronomy: fertilizer recommendations, soil sampling, crop scouting, variable rate application, manure and nutrient management, enhanced efficiency fertilizers. Science: Greenhouse Gas (GHG) Emission and Carbon quantification and reporting protocols (Verra, Cool Farm Alliance CFA, IPCC); crop, soil and water modelling; statistics; soil classification; experimental design. Project Management: budgeting, reporting, outreach, team leadership, fieldwork coordination, laboratory protocols. Field Methods: weather stations, soil greenhouse gas measurement, soil and water probes, groundwater wells installation, sampling and analysis, irrigation and drainage surveys. Lab Methods: soil, GHG, water and crop analyses. • Data Skills: Coding: Python, R, HTML, JavaScript, SAS. Database: SQL, PostgreSQL, Athena. Engineering and Cloud: Amazon Web Services (AWS), Airflow, Metaflow, CircleCI, Docker Science: Statistics, Machine Learning, AI, modelling, Sci-kit Learn, Big Data. GIS: ENVI, ArcView, SMS, QGIS. Tools: Git, Jupyter, Pycharm, VSCode, MS Office, Anaconda. Visualization: Matplotlib, Plotly, Dash, Seaborn, Coreldraw. • Bilingual English and Italian, good Spanish. Dual Citizenship Canadian and European Union (ITA).
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