Seasoned ecologist, sustainability scientist, and information technology professional perpetually striving to innovate technical and cultural solutions for a changing global climate. Quick to learn and thrilled to blaze trails, I have worked on projects ranging from offshore windfarm installation to community wood-waste solutions, and landscape interpretation in the field to cartography. I am drawn to the high-level challenges that demand creative thinking, teamwork balanced with self-leadership, and sustained effort for success. As an ecologist by training, I model my approaches to problem-solving, knowledge-seeking, and collaboration upon the framework provided by living ecosystems. As a professional, I strive to be interdisciplinary and interconnected. I have multiple years of experience across several fields: GIS & geospatial analytics, naturalism, wilderness guiding, environmental education, community forestry, and endangered species protection.Technical Skills: - Python (Pandas, NumPy, BeautifulSoup, Selenium, Sklearn, Spark, Docker, AstroPy) - Supervised Machine Learning (Linear & Logistic Regression, CART, Ensembling) - Unsupervised Machine Learning (Dimensionality Reduction, PCA, K-means, DBScan) - Natural Langauge Processsing (NLTK, Topic Modeling [LSA, LDA, NMF], VADER Sentiment Analysis, Collaborative Filtering, TF-IDF) - Deep Learning (Keras) - Databases (SQL, mongoDB, ArcGIS Suite) - Data Visualization (Matplotlib, Seaborn, Plotly, Tableau, Geopandas) - Other (Bash/CLI, Git, Streamlit, Flask, HTML, AWS, Linux, macOS, Windows)My achievements include: