• 🎓 I'm a fourth-year student at the University of Toronto double majoring in Applied Statistics & Geographic Information Systems (GIS) with a minor in Mathematics

• 👀 I’m interested in the intersection of Spatial Data Science with Machine Learning Algorithms in GIS & Remote Sensing Analysis

• 🌱 I’m currently learning how to leverage Python's Data Science stack to solve structured and unstructured data problems through coursework and self-study

• 📈 Data Science Proficiences: Data Preprocessing, Data Visualization, Regression, Classification, Clustering, Deep Learning, & Web Scraping

• 🌐 GIS & Remote Sensing Proficiences: Geoprocessing, Spatial Statistics, Cartographic Design, Georeferencing, Landcover Analysis, Time Series Analysis & Change Detection

• 📭 If you'd like to contact me, feel free to message me on my email or linkedin

• 📁 Check out my Portfolio Projects here - Portfolio

I have experience in:

• Data Analysis & Visualization - Python (NumPy, Pandas, Matplotlib, Seaborn, BeautifulSoup), R (Tidyverse, Terra), SQL (MySQL)
• Machine Learning & Deep Learning - Sciki-Learn, TensorFlow, Keras,
• GIS & Remote Sensing - ArcGIS Pro (ArcPy, ModelBuilder, Storymaps), Google Earth Engine (JavaScript), QGIS, ERDAS Imagine