CS Prof at Loyola University Chicago
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Assessing your cultural and operational fit
Loyola University Chicago
Data Scientist
June 19, 2026 – Present
Collaboration-Topic-Switches
April 1, 2023 – December 15, 2023
Official code repositiory for the paper "Collaboration and Topic Switches in Science"
View Projectinfinity-mirror
November 19, 2019 – December 8, 2022
Code repository for the paper titled The Infinity Mirror Test for Graph Generators.
View ProjectThree_Parts_Tree
March 14, 2019 – July 6, 2023
Attempt at Extracting Structures from Graph
View Projectstructural_form
January 29, 2019 – May 9, 2019
Python implementation of Kemp et al.'s paper "The discovery of structural form" http://www.charleskemp.com/code/formdiscovery.html. This is a work in progress.
View ProjectCNRG
May 18, 2018 – July 6, 2023
Code release for the paper "Modeling Graphs with Vertex Replacement Grammars" by Sikdar et al.
View ProjectNMI
May 18, 2017 – May 18, 2017
Find normalized mutual information of two covers of a network
View ProjectLINCOM
January 21, 2017 – August 5, 2018
A linear time community detection algorithm proposed by Basuchowdhuri et al.
View ProjectCultural Fit Analysis
The candidate's project history indicates a strong inclination towards academic research and complex algorithmic development, particularly in graph theory and network science. This aligns well with roles requiring deep analytical skills and problem-solving. However, the projects are predominantly personal and research-oriented, which might indicate a preference for individual contribution over team-based product development. The current role as 'Data Scientist' at Loyola University Chicago, starting in 2026, suggests a potential academic or research-focused data science path. The diversity of technologies used across projects (Python, C++, Matlab, GAP, Jupyter Notebook) shows adaptability, but the focus is very specific to graph analysis. The lack of diverse industry-standard data science tools (e.g., cloud platforms, big data technologies, MLOps) might indicate a gap for roles outside of research.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, and no other information is available.