Alec M. Krueger
Research Associate
Texas A&M University
Geochemical and Environmental Research Group
Professional Summary
Data-driven Research Associate analyzing large multidimensional datasets, automating data processing with Python, and conducting environmental data collection. Adept at statistical analysis, visualization, and web development. Eager to leverage problem-solving skills to ensure data validity and advance impactful research.
Selected Projects
Glider Data Ingest
The glider_ingest Python package is a data pipeline that optimizes the conversion of raw sensor data from GERG gliders into project deliverables. By automating previously manual steps, it reduces processing time from over an hour of interactive, error-prone work requiring more than a dozen user inputs to under five minutes with only three inputs. This automation not only accelerates the workflow but also enhances data accuracy and consistency by minimizing human error. The result is a streamlined, efficient, and repeatable process that significantly improves post-mission data processing.
Plotting Package
The gerg_plotting Python package is designed to streamline the visualization of scientific data, significantly enhancing both the efficiency and ease of generating plots. It provides a variety of tools for data exploration, such as histograms and scatter plots, as well as more advanced features like maps, animations, and interactive 3D models. By automating the plotting process and standardizing common visualizations, the package drastically reduces the time spent on manual plotting tasks. What would normally require multiple steps and custom code to create complex visualizations is now achieved with just a few function calls, saving users considerable time and effort. This efficiency makes the package especially valuable for researchers needing to quickly produce high-quality, publication-ready plots and interactive visualizations.