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Biologist, Strategy Consultant
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Predicting-Carbon-Export-Potential
September 22, 2022 – March 24, 2023
Remote sensor algorithms: Predicting marine exopolymer concentrations and carbon sequestration potential over large spatial scales. Marine exopolymers are an important element in global carbon cycle as they are critical for the sequestraion of carbon dioxide in the ocean. Furthermore, they are an important substance in the desalination industry as they frequently clog reverse osmosis filters critical for efficient desalination. As such, it is important to develop models that can accurately predict marine expolymer concentrations. This project creates a series of predictive models to estimate the concentrations of exopolymers at the oceans surface from a suite of commomly reported variables on both remote sensors and satellites. Overall, the models are quite accurate when tested on validation data from marine surfaces with an accuracy of >81% and mean error of ~10 micrograms. The models do not appear to be overfit, or violate any necessary assumptions. This project is a completely novel
View ProjectSmall-Cell-Carbon-Sequestration
September 21, 2022 – September 28, 2022
A repository with code and data files aimed at quantifying, visualizing and identifying statistical trends in small cell marine carbon uptake. Statistical techniques include multivariate analysis (i.e. Principal Component Analysis, Analysis of Variance) and localized regression modelling. Data was obtained from in-situ 13-C and 15-N labeled isotopic experiments, over a 4-year period.
View ProjectOutlier_detection
February 28, 2022 – February 28, 2022
A project designed to detect outliers in large time series based data sets. It uses the Local Outlier Factor function to detect outliers.
View ProjectLube-City-Sales-Growth
February 13, 2022 – February 15, 2022
Lube-City-Sales-Growth — GitHub repository
View ProjectGreen-Energy-Modelling
January 12, 2022 – June 28, 2022
A series of machine learning algorithms focused on data-driven decarbonization consulting.
View ProjectFinancial-Risk-Modelling
January 4, 2022 – November 27, 2022
A series of different machine learning models to estimate chance of credit default on large datasets.
View ProjectMaps
November 1, 2021 – November 5, 2021
A repository with a variety of maps and data visualizations using the Python package 'Cartopy'
View ProjectRemote-Sensor-Algorithms
October 29, 2021 – February 28, 2023
A project that utilizes satellite data from NASA and predictive regressions on a global scale.
View ProjectStatistical-Model-Selection
October 14, 2021 – January 6, 2022
This repository explores model selection techniques based off of my doctoral research. It explores the assumptions of linear modelling, the appropriate tests to apply, and the application of cross validation techniques.
View ProjectCarbon-Export-Potential
August 4, 2021 – August 4, 2021
Analyzing relationships among variables in a broad range of fields.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science, statistical analysis, and machine learning, which aligns well with a Data Scientist role. The diversity of applications, from environmental science to finance, indicates adaptability and a broad interest in problem-solving. However, the projects are all personal, and there is no information on collaborative work or professional experience, which limits the assessment of cultural fit within a team or corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, research-oriented problems independently. The focus on detailed statistical analysis and model validation suggests a methodical and analytical approach. However, without specific psychometric or English test scores, it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration skills.