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bert-loves-chemistry
April 1, 2020 – October 27, 2024
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
View ProjectMatrix_Completion
April 3, 2019 – April 5, 2019
Python implementations of matrix completion algorithms
View ProjectAI_Artistry
October 25, 2017 – November 28, 2017
Python implementation of "A Neural Algorithm of Artistic Style," Gatys et al.
View ProjectTieDecay
May 1, 2017 – July 5, 2020
Code accompanying "Tie-decay temporal networks in continuous time and eigenvector-based centralities" by Walid Ahmad, Mason Porter, and Mariano Beguerisse-Díaz.
View Projectsample_app
June 11, 2014 – June 17, 2014
Sample app from Michael Hartl Ruby on Rails Tutorial
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong interest in machine learning, particularly in the bioinformatics/cheminformatics domain, which aligns well with data scientist roles requiring specialized ML applications. The diversity of projects, from deep learning models (BERT, neural style transfer) to classical algorithms (matrix completion) and web application deployment, suggests a broad technical curiosity and ability to tackle different types of problems. The inclusion of Ruby/Rails projects, while not directly related to Data Science, indicates a willingness to explore different technology stacks.
Soft Skills & Operational Fit
The provided data does not contain information to assess soft skills or operational fit. The candidate's project descriptions are concise, indicating a focus on technical output.