1. 👨‍🔬 Proud science nerd who spent years thinking about how geology🪨, biology🌳, and water💧 interact
2. 🔄 Pivoted career to focus on what underlies all scientific inquiry: data!
3. 🧪 I employ a scientific- and data-focused approach to solve problems using data analytics📊
4. 🐣 ➡ 🦅 I love working on the full insights lifecycle, from research to analysis to modeling to reporting
5. 🌐 My focus is on solving geospatial problems using a mix of open source tools and applications

               

• PyMAAP
  • Code benchmarking and analysis tool available on PyPI
  • Package offers timing decorators and inline performance monitoring hooks
  • Script run from the command line can automatically generate helpful plots and tables so you can analyze the performance of your script(s)
• Sustainability Insights
  • Python-based project centered on gleaning insights from mining emissions datasets sourced from Climate TRACE
    • Python tools used: Numpy, Pandas, DuckDB, and Matplotlib
  • A Tableau Public Story was created to show which companies are most responsible for the world's mining emissions
  • I wrote an Executive Summary which explains my workflow and conclusions
• ClassiFIRE
  • Python- and QGIS-based wildfire prediction model
    • Python tools used: Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Tensorflow
  • Presentation of my findings
  • Executive Summary of my work
• Potential Talents
  • Python-based NLP project designed to utilize Learning-To-Rank systems to organize job candidates based on their similarity to particular terms
    • Visualization techniques used: histograms, boxplots, bar charts, choropleth map, word cloud
    • Python tools used: Text embedding (Tfidf, Word2Vec, GloVe, fastText, SBERT), Scikit-Learn's Cosine Similarity, RankNet with PyTorch, LambdaRank with LightGBM

As a data professional, I employ the latest data techniques to uncover insights. I am skilled in:

• Research: With my science mindset, I know how to bring in external data in to enrich the analysis
• Reporting: My years as a researcher and consultant have taught me how to communicate effectively
• Data Manipulation: Need help preparing the data? I'll utilize Pandas, DuckDB, SQL queries, and Polars
• Visualization: Want some figures? I can use Python (Matplotlib, Seaborn), Tableau, R (ggplot2), or Excel
• Business Intelligence Tools: Did I mention Tableau? Let's talk about how I can build dashboards for you
• Python for Data Analysis and Machine Learning: Scikit-learn, Tensorflow, and Jupyter are my home
• Predictive Modeling: Using Hyperopt and Optuna, I have tuned countless algorithms on varied datasets
• Deep Learning: How about neural networks? I have used Tensorflow to analyze satellite imagery
• GIS: Want to know "where"? I use my geospatial skills in Esri's ArcGIS Pro, QGIS, and PostGIS to solve it
• Statistics: Want to know "why"? I use Python's Statsmodels to figure that out
• Natural Language Processing: I am skilled in NLP and can help you perform text or sentiment analysis