Harold Estrella
PHD Student at CIAT
Cali, Valle del Cauca, Colombia
Summary
👤
Senior🎓
Top SchoolHarold Estrella is a data scientist and PhD student at Wageningen University with 11 years of experience applying statistical and machine learning methods to agricultural problems. He has spent six years focused on species distribution, climate change impacts, and crop modeling while working at CIAT and other research institutions. Trained as a statistician and with a master's in computer science, he blends rigorous quantitative methods with practical field-driven insights to support decision making in agriculture. He is particularly passionate about leveraging deep learning for unstructured data, bringing modern approaches to traditionally structured agronomic datasets. Based in Cali, Colombia, Harold bridges global research networks and local agricultural challenges, often translating complex models into actionable guidance for stakeholders. His background hints at a rare combination of domain expertise, statistical rigor, and systems-oriented computing.
11 years of coding experience
Statistician, Statistics, Statistician, Statistics at Universidad del Valle (CO)Doctor of Philosophy - PhD, Agricultural Business and Management, Doctor of Philosophy - PhD, Agricultural Business and Management at Wageningen University & Research
Spanish, English
Github Skills (7)
python3
machine-learning2
stylegan2
transfer-learning2
generative-adversarial-network2
solar1
tensorflow1
Programming languages (3)
Github contributions (5)
haachicanoy/RAW_REGRESSION_MODELS_BIGDATA
Dec 2015 - Nov 2016
Contributions:31 commits, 29 pushes in 10 months
datospythonmetodos
haachicanoy/Climate-change-CWR
Feb 2015 - Oct 2017
Contributions:22 commits, 22 pushes, 1 branch in 2 years 9 months
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