Aycha Tammour, PhD

I am a data scientist with a PhD in Astronomy and experience building time series forecasting, anomaly detection, and NLP solutions across multiple industries. I am currently expanding my focus into GIS and remote sensing, combining machine learning with geospatial data.

Please explore some of my work in data science and geospatial analytics here → Projects.

Tech Stack

Python SQL Airflow XGBoost scikit-learn TensorFlow MLFlow GeoPandas Shapely Rasterio STAC Leafmap QGIS Postgres/PostGIS DuckDB Google Earth Engine AWS

Education

Western University

PhD, Astronomy · London, ON, Canada · 2016

Insights from Unsupervised Clustering and Composite Spectral Analysis into the Physical Properties Driving Emission and Absorption in Quasar UV/Optical Spectra

Peer-Reviewed Publications

Tracing quasar narrow-line regions across redshift: a library of high-S/N optical spectra

Tammour, A. et al. · MNRAS · 2015 · 448, 3354
Insights into quasar UV spectra using unsupervised clustering analysis

Tammour, A. et al. · MNRAS · 2016 · 459, 1659

Astro Research

A summary of the research conducted during my PhD using machine learning to analyze quasar optical/UV spectra.

View research →