Multivariate Analysis
Published:
In this project I used various multivariate statistical techniques to explore E-commerce shipping data and ultimately gain insight into improving on-time shipments and customer satisfaction.
Published:
In this project I used various multivariate statistical techniques to explore E-commerce shipping data and ultimately gain insight into improving on-time shipments and customer satisfaction.
Published:
Project walking through various data visualizations that I have created in Tableau.
Published:
Project going through the creation of a Postgres relational database and its functionality in deploying to statistical programing languages for analysis and Tableau for data visualization.
Published:
Project walking through the use of SQL to query a relational database.
Published:
In this portfolio project, I trained two machine learning algorithms, a TensorFlow Neural Network and a scikit-learn Random Forest machine learning algorithm to predict stroke occurrence in patients. Additionally, I utilized Shap values to extract insights into the importance of different features in the predictive models.
Published in Nature - Scientific Data, 2023
This paper is about the compilation of a continental wide data base encompassing estimated pCO2 values in flowing freshwaters from 1990 to 2020.
Recommended citation: Toavs, T. R., Hasler, C. T., Suski, C. D., & Midway, S. R. (2023). "A 30-year dataset of CO2 in flowing freshwaters in the United States." Scientific Data. 10(1), 20. https://doi.org/10.1038/s41597-022-01915-0
Poster Presentation, American Fisheries Society - Southern Division, 2022
Presenting the data pipeline and workflow for the compilation of CDFLOW.
Recommended citation: Toavs, T. R., Hasler, C. T., Suski, C. D., & Midway, S. R. (2022). "CDFLOW: A 30-year dataset of CO2 in U.S. flowing freshwaters." Southern Division American Fisheries Society Annual Meeting. Charleston, South Carolina.
Talk, American Fisheries Society - Annual Meeting, 2022
Presenting the data pipeline and workflow for the compilation of CDFLOW.
Recommended citation: Toavs, T. R., Hasler, C. T., Suski, C. D., & Midway, S. R. (2022). "CO2 in Flowing Freshwater: What can we learn from 30-Years of Data?." American Fisheries Society Annual Meeting. Spokane, Washington
Talk, American Fisheries Society - Annual Meeting, 2023
Presenting the use of BHMs to estimate species richness.
Recommended citation: Toavs, T. R., Hasler, C. T., Suski, C. D., & Midway, S. R. (2022). "Bayesian Hierarchical Models bring new life to estimating species richness with non-linear functions." American Fisheries Society Annual Meeting. Grand Rapids, Michigan