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Co-Founder @foyer-work | Builder
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foyer-work
Data Scientist
June 25, 2026 – Present
XML-CNN
November 16, 2018 – February 11, 2024
Pytorch implementation of the paper Deep learning for extreme multi-label text classification
View ProjectPaperSum
November 14, 2018 – February 6, 2019
Summaries of *some* of the machine learning paper, I read
View ProjectVisualizeMSDNet
October 29, 2018 – November 23, 2018
Visualizing the Multi-scale dense network with Grad-CAM
View ProjectGraph-NN
January 3, 2018 – November 26, 2018
Graph Convolutional Neural Networks for Theano
View ProjectNormalizing_Flows
December 20, 2017 – November 26, 2018
Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770
View ProjectMotion_Prediction
December 14, 2017 – May 6, 2019
Code base for our work on Human motion prediction via Graph CNN
View ProjectHandwriting-Recognition-and-Sentimental-Analysis
February 29, 2016 – July 11, 2017
Intro to Machine Learning:Sentimental Analysis
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on academic and research-oriented machine learning, which aligns well with a Data Scientist role that involves research and model development. The diversity of deep learning projects (NLP, computer vision, graph neural networks) shows a broad interest within the ML domain. However, the lack of collaborative projects or experience outside of personal research might indicate a preference for individual work, which could be a consideration for team-oriented environments. The single current full-time role as a Data Scientist is a positive indicator of role alignment.
Soft Skills & Operational Fit
The candidate's project descriptions are concise, indicating a direct communication style. The sheer volume of personal projects suggests strong self-motivation and a proactive approach to learning and problem-solving. However, without psychometric test results or interview data, it's difficult to assess stress handling, teamwork, or detailed work attitude.