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Assessing your cultural and operational fit
Arctic_seaice_clustering
May 14, 2026 – Present
Code repository for GMM clustering to support manuscript titled "Nondimensional parameter regimes of Arctic ice keel-ocean flow interactions"
View Projectanthropogenic_DIC
November 4, 2025 – November 28, 2025
Data and code to accompany manuscript titled "Changes in the Oceanic Carbon Storage due to Anthropogenic Carbon Input over the Past Three Decades" by F. Hong and V.E. Zemskova
View Project2D_seaice_simulations
October 23, 2025 – Present
Code repository for numerical simulations to support manuscript titled "Nondimensional parameter regimes of Arctic ice keel-ocean flow interactions"
View Projectbasin_modes
July 25, 2024 – August 13, 2024
Data and code repository to support manuscript titled "Internal tides generation in semi-enclosed ocean basins"
View ProjectINI_stability
September 13, 2023 – September 13, 2023
Linear stability analysis of inertial instability
View Projectcoastal_internal_tides
November 16, 2022 – August 8, 2023
Data and code repository to accompany manuscript titled "Internal tides at the coast: energy flux of baroclinic tides propagating into the deep ocean in the presence of supercritical shelf topography"
View ProjectTDI_capstone_data_processing
May 18, 2022 – June 7, 2022
Scripts for raw data ingestion, processing, and model building for TDI capstone project on predicting trends in housing price indices. Includes scripts for data plotting,
View ProjectTDI_housing_prices_capstone
March 30, 2022 – April 20, 2022
TDI_housing_prices_capstone — GitHub repository
View ProjectEII_LES
February 5, 2021 – February 12, 2021
Codes to run LES simulations for submesoscale frontal instabilities
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic and scientific research, primarily in oceanography and climate science. While demonstrating strong analytical and technical skills, the direct alignment with a typical 'Data Scientist' role in a commercial or product-driven environment is moderate. The breadth of technologies used (Fortran, Matlab, C++) alongside Python and Jupyter Notebook suggests adaptability, but also a potential need to transition from a purely scientific programming paradigm to more industry-standard data science workflows and tools. The TDI capstone projects show an attempt to bridge this gap, indicating a willingness to apply skills to different domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong focus on research and scientific problem-solving, which may translate to analytical thinking and problem-solving skills. However, there is no information on collaboration, communication, or leadership in a team setting.