andalytics by

marijana andabaka

Advanced data science solutions: From data to discoveries


PhD forest scientist specializing in data science workflows, automated analysis, and research insights for research institutions and organizations. Core expertise:

  • Statistical modeling & data science for forestry and environmental research
  • Spatial data integration (GIS, remote sensing, automated processing)
  • R programming & automation for scalable research workflows
  • Climate & environmental data analytics and visualization

With a PhD in Forestry and 7+ years of research experience, I help organizations transform complex data into actionable insights for research, management, and policy decisions.

Transform Data into Actionable Insights

Research institutions generate complex, multi-dimensional datasets that require sophisticated data science approaches to unlock their full potential.

I help research institutions and organizations extract meaningful insights from data through advanced statistical modeling, automated workflows, and integrated spatial analysis.

As a PhD forest scientist with extensive data science expertise, I understand both the questions driving your research and the modern analytical methods needed to answer them efficiently.

My solutions combine deep domain knowledge with data science precision to strengthen your research conclusions, accelerate scientific discovery, and support evidence-based decision making.

Let me help you reveal the patterns hidden in your data and transform your analytical capabilities.

Why Choose Data Science Approach?

Traditional Analysis:

  • Manual processing takes weeks
  • Limited to small datasets
  • Difficult to reproduce
  • One-time insights

My Data Science Solutions:

  • Automated workflows save 90% of time
  • Handle datasets of any size
  • Fully reproducible and scalable
  • Continuous insights as data grows

What I Deliver

  • Advanced Statistical Analysis & Data Science: Sophisticated modeling approaches with automated pipelines for complex ecological datasets
  • Spatial Data Integration & Automation: Seamless combination of field measurements, remote sensing, and environmental data with scalable processing
  • Research-Quality Insights: Methodologically sound analyses that support peer-reviewed publications and policy decisions
  • Reproducible Data Science Workflows: Documented R pipelines that ensure transparency, scalability, and replicability
  • Scientific Collaboration & Capacity Building: Working with your research team to build modern analytical expertise and data science capabilities

Forest Data Science

3D Bivariate Mapping: Combining NDVI and Climate Data
3D Bivariate Mapping: Combining NDVI and Climate Data

27 June, 2025

Master advanced spatial analysis by combining satellite vegetation indices with climate data in stunning 3D bivariate maps that reveal hidden vegetation-climate relationships across complex terrain.

13 minutes read

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Introduction to Google Earth Engine: A Powerful Tool for Modern Forest Science
Introduction to Google Earth Engine: A Powerful Tool for Modern Forest Science

27 June, 2025

A comprehensive guide to using Google Earth Engine for forest research, with practical examples using R and the rgee package.

26 minutes read

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Interactive Climate Analysis for European Forests: Building Decision-Support Tools with EU-Trees4F Dataset
Interactive Climate Analysis for European Forests: Building Decision-Support Tools with EU-Trees4F Dataset

20 June, 2025

Discover how interactive data applications transform complex climate datasets into actionable forest management insights using the EU-Trees4F dataset and advanced R programming techniques.

5 minutes read

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Drought Stress in Forests: Mastering the SPEI Package for Climate Analysis
Drought Stress in Forests: Mastering the SPEI Package for Climate Analysis

2 June, 2025

Master forest drought analysis with the SPEI package - detect drought stress months before visible symptoms and create standardized assessments across multiple ecological time scales.

17 minutes read

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