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Nederlands
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I will analyze soil, environmental, or spectral data using python, r, matlab and mls
Pro Data Analyst, R studio, Python, PLSR, Excel, SQL, Machine Learning
I’m Peter Eniola, a data analyst specializing in data cleaning, preprocessing, and advanced machine learning. I work with soil, environmental, spectral, EMI, terrain, RGB/orthophotos, and general scie...
Over deze dienst
Do you need expert analysis of soil, environmental, or spectral data for your research or project?
I'm Peter, a data analyst and MSc researcher specializing in machine learning, spectroscopy, and environmental data modeling using Python, MATLAB and R.
I provide accurate, research-grade insights for soil labs, universities, environmental scientists, and graduate students.
Services include:
Soil/spectral data preprocessing
Machine learning models (RF, SVM, XGBoost, MLR, Ridge, Lasso Regression, PLSR, ANN, KNN etc.)
Soil property prediction (SOC, clay, pH, nitrogen, moisture other)
Hyperspectral/NIR analysis and feature extraction
Environmental modeling (digital soil mapping, GHG, climate-soil interactions, yield, etc.)
Model evaluation, comparison, and visualization
Optional full scientific report + source code
I deliver clean workflows, clear explanations, high-quality visuals, and confidential handling of your dataset. Whether youre preparing a thesis, publication, or professional research study, I can help you produce reliable, well-structured results.
Send your dataset and project detailsIll transform your data into meaningful insights.
Programmeertaal:
Python
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R
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MATLAB
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SQL
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Colab
Frameworks:
Scikit-learn
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Google ML Kit
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keras
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PyTorch
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Panda
Tools:
Jupyter-notitieboek
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tensorflow
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Excel
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MLflow
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Colab
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RStudio
Veelgestelde vragen
What types of data can you analyze?
I work with soil datasets, environmental data, spectral/NIR data, hyperspectral reflectance, GHG fluxes, crop performance data, EMI data, terrain derivatives (slope, aspect, TPI, TWI, curvature), and remote sensing products such as orthophotos and RGB imagery.
Do you work with Digital Soil Mapping (DSM)?
Yes. I analyze DSM covariates and build machine learning models to predict soil properties using terrain derivatives, EMI layers, environmental data, multispectral/RGB imagery, and other spatial predictors.
What if I am not sure which model or method I need?
Just message me. Send your dataset or research question and I will suggest the best preprocessing steps, ML models, and workflow based on your goals.
Is my data kept confidential?
Absolutely. Your dataset, results, and project details are never shared. Everything is handled securely and privately.
My dataset is messy or incomplete. Can you fix it?
Yes. Data cleaning, preprocessing, formatting, and exploratory checks are included in all packages.
Will you provide the Python or R code used in the analysis?
Yes. Standard and Premium packages include full source code and reproducible Jupyter notebooks or R scripts.
Can you help with MSc or PhD thesis work?
Yes, I regularly assist graduate students by providing modeling workflows, visualizations, and statistical interpretations (but I do not write thesis text).
Do you provide a scientific report?
Yes. The Premium package includes a detailed, publication-ready scientific report with interpretations, figures, comparisons, and insights. Standard includes a shorter summary.
What machine learning models do you use?
Random Forest, Quantile Random Forest, SVM, PLSR, XGBoost, Regression models, PCA-based methods, ANN, KNN and ensemble models. I choose the best technique depending on your dataset and objective.
Can you analyze orthophotos, multispectral, or RGB imagery?
Yes. I extract vegetation indices, textural features, reflectance values, and other relevant variables that can be used for soil, crop, or environmental predictions.
