University of Tehran
|Freelance Data Scientist / R Developer
Tehran, Tehran Province, Iran (Islamic Republic of)
Summary
Led advanced data science projects, developing sophisticated R pipelines and machine learning models for ecological and remote sensing data analysis.
Highlights
Developed highly sophisticated R pipelines to process and organize remote sensing indices (NDVI, MNDWI, EVI) derived from Landsat, MODIS, and Sentinel data.
Engineered complex missing-data gap-filling algorithms utilizing Machine Learning models, including Random Forest and XGBoost, alongside spatial-temporal smoothing techniques.
Implemented advanced deseasoning strategies (STL decomposition, Harmonic regression) to isolate low-frequency trends while preserving critical Early Warning Signals.
Deployed BFAST (Breaks For Additive Season and Trend) and customized EWS algorithms to detect anomalies, statistical outliers, and regime shifts in complex environmental data.