Data scientist - Statistics and Data modelling

Summary

I worked as scientific researcher in Biology, both in academia and in R&D.

I offer you my expertise and experience in Data analysis, statistics, data modelling and machine learning.

In an indoor-farming company, I developed a smart growth chamber which automatically adjusts growth conditions for efficient plant growth, based on image analysis and machine learning.

TECHNICAL SKILLS AND COMPETENCES
Statistical analysis of large datasets by R and Python.
Report of data analysis as short reports, presentations and scientific publications.
Machine learning: Multilevel linear models, k-Nearest Neighbors, Random Forest, Support Vector Machine, Principal Component Analysis, Discriminant Functional Analysis.
Good knowledge of SQL
Monitoring plant physiology and stress in chamber, greenhouse and field conditions.
High-throughput plant phenotyping by image analysis.
In vivo monitoring of photosynthesis.
Extensive wet-lab experience, mainly focused on biochemical analyses (proteins and pigments).

Expectations

I want to give you value by my skills in Data Analysis.

Employment Preferences

Expected Base Salary

**,000 EUR

Expected Hourly Rate

** EUR/hr

Academic Degree

Experience

Skills

• R
• Python
• Statistic
• Machine Learning
• Data Modelling
• Vertical Farming
• Indoor Farming
• Plant Phenotyping