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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
COVID_moonshot_submissions
April 4, 2020 – November 9, 2023
Data from the COVID Moonshot project
View Projectbenchmarking_platform_p23
December 16, 2019 – February 20, 2020
Updated rdkit benchmarking platform of Riniker and Landrum
View Projectvalidating_validation_supp_info
May 23, 2019 – June 9, 2019
Code to accompany preprint https://arxiv.org/abs/1905.11681
View ProjectLigParGen
October 5, 2017 – October 5, 2017
Command line tool providing BOSS generated OPLS-AA/CM1A(-LBCC) parameters for organic molecules and ligands.
View Projectchain_joiner
September 5, 2017 – September 28, 2017
Package to fix chain breaks in PDB files
View Projectrandom
September 1, 2017 – June 10, 2020
A collection of python notebooks exploring random topics
View Projectratings_methods
August 23, 2017 – September 7, 2017
A collection of python notebooks exploring popular methods for rating sports teams (and other things)
View ProjectYUSAG_football_model
August 2, 2017 – August 18, 2017
YUSAG model for both FBS and FCS rankings
View Projectligpargen
April 26, 2016 – August 12, 2018
A repository for tutorials and FAQ's about LigParGen
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic/research-oriented, focusing on specific scientific and sports analytics problems. While demonstrating initiative, there is limited evidence of diverse team collaboration or experience in a typical corporate data science environment. The projects align with data science principles but lack breadth in common industry applications or technologies beyond Python and Jupyter Notebooks. The target role is 'Data Scientist', and the projects show a foundational alignment, but the lack of professional experience or team-based projects makes a full cultural fit assessment challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.