Major in Mathematics and Computing
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Assessing your cultural and operational fit
Graviton Research Capital
Data Scientist
June 18, 2026 – Present
gym-cryptotrading
April 15, 2018 – August 17, 2022
OpenAI Gym Environment API based Bitcoin trading environment
View Projectcharrnn
March 10, 2018 – March 10, 2018
General Tensorflow implementation of a RNN Character Level Language Model based on Truncated Backpropagation Through Time (TBPTT)
View Projectmini-Keras
February 11, 2018 – March 6, 2018
Implementing shallow/deep neural network in python from scratch
View Projectdeep-trading-agent
September 21, 2017 – June 7, 2018
Deep Reinforcement Learning based Trading Agent for Bitcoin
View Projectlatex-template
September 17, 2017 – November 20, 2017
Latex Presentation Template for thesis and projects
View Projectspark-mdp
December 15, 2016 – November 20, 2017
Policy Evaluation and Iteration implementation in Spark for MDPs with sparse transition matrices
View Projectspark-lsh-knn
December 7, 2016 – November 20, 2017
Approximate KNN using Locality Sensitive Hashing implementation in Spark
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong interest in advanced machine learning topics, particularly reinforcement learning and deep learning, which aligns well with an innovative data science culture. The diversity of projects, including those in distributed computing (Spark) and language modeling, indicates a broad technical curiosity. However, without more information on collaborative projects or team roles, a full cultural fit assessment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.