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crypto-rl-portfolio
October 27, 2025 – December 14, 2025
Reinforcement Learning for cryptocurrency portfolio management with weekly rebalancing. Implements LinUCB, DQN, and REINFORCE agents.
View ProjectKGPL-PyTorch
April 20, 2025 – May 13, 2025
A PyTorch implementation of Knowledge Graph Pseudo-Labeling (KGPL) for Cold-Start Mitigation in Personalized Recommendation Systems. (https://arxiv.org/abs/2011.05061)
View Projectsnowflake_streamlit_app
February 22, 2024 – February 23, 2024
snowflake_streamlit_app — GitHub repository
View Projectglobo-nonlinear-latent-factorization
January 6, 2020 – May 28, 2024
Nonlinear latent factorization model inspired by research at Conde Nast. (WIP)
View Projectdeutsch-nlp
July 25, 2019 – September 11, 2019
Which one of five German authors can text be attributed to?
View Projectvideogame-recommender
July 23, 2019 – September 3, 2019
ALS matrix factorization with PySpark
View ProjectRNN-music-recommender
June 20, 2019 – January 28, 2020
sequential content-based recommendation system
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on data science and machine learning, which aligns with a Data Scientist role. However, the lack of professional experience or team-based projects makes it difficult to assess broader cultural fit, collaboration, or adaptability within an organizational context. The diversity of projects within the data science domain is good, but there's no evidence of engagement beyond personal technical exploration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists personal technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.