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unity-ml-agent-tennis
January 27, 2019 – January 27, 2019
This notebook presents the work of training two Reinforcement Learning (RL) agents to play tennis.
View Projectunity-ml-agent-reacher
January 18, 2019 – January 18, 2019
Reinforcement Learning Agent that learns how to control multiple robot arms
View Projectunity-ml-agent-banana-collector
January 3, 2019 – January 3, 2019
Reinforcement Learning Agent that learns how to collect bananas
View Projectdeep-reinforcement-learning-nanodegree
November 22, 2018 – December 3, 2018
deep-reinforcement-learning-nanodegree — Dev.to repository
View Projectlovesong
October 4, 2017 – October 4, 2017
Alexa skill that use Audio Player interface to play custom music stream
View Projectwechat-history
September 25, 2017 – September 27, 2017
Get all posts from the provided wechat account information.
View Projectdetect-fake-news
September 2, 2017 – September 2, 2017
A naive bayes model to detect fake news
View Projectdeep-learning-foundation
April 3, 2017 – October 10, 2017
deep-learning-foundation — Dev.to repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong self-driven learning approach, which can be a positive cultural fit for organizations valuing initiative. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment. The project diversity is good within the ML/AI domain, but lacks breadth in other areas of data science like data engineering, MLOps, or advanced statistical modeling beyond basic ML algorithms.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.