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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Test
May 28, 2021 – May 28, 2021
Coming back to github after a while now. Let's see what this can do...
View ProjectFashionMNIST-with-keras
December 22, 2019 – December 22, 2019
Tackling the FashionMNIST dataset with convolutional neural networks from keras and tensorflow.
View ProjectMonte-Carlo-PG-in-julia
September 9, 2019 – October 8, 2019
Monte Carlo Policy Gradient implementation in Julia using Flux.jl
View ProjectDifferentiableNeuralComputer.jl
August 3, 2019 – August 31, 2019
DifferentiableNeuralComputer.jl — GitHub repository
View ProjectDiffPong.jl
July 4, 2019 – July 24, 2019
A differentiable Pong game environment for the Julia
View ProjectNES.jl
July 4, 2019 – October 9, 2019
A NES emulator and collection of environments in Julia for RL
View Projectgamblers-problem
April 7, 2019 – April 7, 2019
A dynamic programming solution to the classic gambler's problem introduced in Sutton and Barton's RL book
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong inclination towards individual, research-oriented, and technically challenging personal projects, particularly in reinforcement learning and Julia. This suggests a self-driven individual with a passion for deep technical exploration. However, the lack of team projects, diverse technology stacks beyond Julia for ML, or professional experience makes it difficult to fully assess cultural fit within a collaborative, production-focused data science team. The focus on personal projects aligns with a self-starter, but the breadth of exposure to standard industry tools and collaborative workflows is not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.