Octavio Martín Duarte
I am a statistician and developer. I have extensive experience in data analysis, data visualization and data engineering.
I have strong mathematical foundations and enjoy theoretical research and the application of advanced mathematical and statistical concepts.
I've mostly worked at small startups, so I had to typically own my products, that's why I had a good understanding of full stack development. I create industrial quality code, ready to deploy, with correctly designed tests, reasonable security and I design efficient servers and APIs.
I look forward to take on positions allowing me to research and deal with interesting mathematical concepts, deep statistical backgrounds or interesting software structures.
Lately, I've developed an interest on cryptos, blockchain technology and Rust, especially zero knowledge systems.
REVIEWS FROM CLIENTS
Led scientific data initiatives to support agricultural research, with a focus on soil health and crop nutritional modeling. Designed ...
Led scientific data initiatives to support agricultural research, with a focus on soil health and crop nutritional modeling. Designed and deployed full-stack data systems used by researchers in-field.
- 📊 Built and maintained interactive dashboards (e.g., Example 1, Example 2) to visualize crop and soil data, combining frontend design (D3.js, Plotly) and backend APIs (Flask, FastAPI).
- 🔁 Developed data pipelines to aggregate, clean, and prepare large-scale datasets (~100K+ records) for real-time model training and analytics.
- 🧪 Created and validated machine learning models for soil spectroscopy calibration, improving field prediction accuracy by 25%.
- 🌐 Served ML models via custom RESTful APIs, enabling real-time access to model outputs through mobile-friendly web apps used by field researchers.
- 🧠 Contributed to agricultural AI standardization by designing JSON schemas to formalize complex datasets, making them interoperable for future AI models.
- 📚 Conducted research and data exploration for crop nutritional content analysis, hypothesis testing, and statistical modeling (e.g., Crop Quality Brief).
Led and contributed to university-level teaching in mathematics, statistics, and computational tools, supporting the analytical founda...
Led and contributed to university-level teaching in mathematics, statistics, and computational tools, supporting the analytical foundations of students and researchers across disciplines.
- Course Designer & Instructor – UNCUYO (2024): Taught an intensive two-week course on computational infrastructure, data processing, sharing, and visualization for university researchers. Fully designed and delivered course content.
- Assistant Professor – University of Buenos Aires (2020–2021): Taught Probability and Mathematics courses in-person and remotely; developed teaching materials, designed assignments, and conducted student evaluations.
- Professor of Mathematics for Economists – UNTreF (2017–2019): Led Algebra and Calculus courses for economics students. Designed curricula, created pedagogical resources, and managed a team of teaching assistants.
- Assistant Professor – UNTreF (2013–2017): Taught Introduction to Mathematics; developed manuals and digital tools to support remote learning.