Machine Learning enthusiast and good python programmer. Like to automate everything especially using ML. Kind of lazy and like to make ML do most of my work ;p
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Policy-Gradient-CartPole-PyTorch
September 29, 2020 – September 29, 2020
Policy-Gradient-CartPole-PyTorch — GitHub repository
View ProjectPolicy-Gradient-CartPole
September 29, 2020 – September 29, 2020
Policy-Gradient-CartPole — GitHub repository
View ProjectPython-Data-Structures-and-Algorithms
August 10, 2020 – August 10, 2020
Python-Data-Structures-and-Algorithms — GitHub repository
View Projectbreakout-v0-ddqn
July 13, 2020 – July 13, 2020
The atari breakout game from gym library played using a dueling DQN network or DDQN in short
View ProjectSnake-DQN-
March 21, 2020 – March 21, 2020
The popular snake game using reinforcement learning (DQN)
View ProjectPython-neat-tricks
February 17, 2020 – February 17, 2020
Sweet one liner codes and simplified popular codes in python
View Projectimage-manipulation-identification-system
February 16, 2020 – April 28, 2020
detection of photoshoped images using machine learning
View ProjectTrash-It
December 22, 2019 – December 22, 2019
"Trash It"-We'll sort it out! is a waste management system in which the main aim is to segregate the waste that is thrown by any individual in the bins(mostly roadside bins,near malls,or college campuses). The waste will be segregated either as a biodegradable or non-biodegradable waste product. We have used raspberry pi and a pi cam for detecting the object that has been placed on the top of the lid. Since the pi cam was not working, we have used a web camera for the image recognition for time being. For the image recognition, a dataset consisting of plastic,cardboard,metal,glass,paper was used and have been trained on top of resnet 50 model .A servomotor is used for turning the lids on top of each dustbin seperation, namely biodegradable and non-biodegradable.For eg, If the waste or object placed is identified as a plastic, which is non-biodegradable, the lid of non-biodegradable dustbin will get opened and the waste will be disposed. Similarly, if the object is identified as a paper
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on personal exploration in machine learning and reinforcement learning. While this shows initiative, the lack of team-based projects or diverse domain applications makes it difficult to fully assess cultural fit for a collaborative Data Scientist role. The projects align with the technical aspects of a Data Scientist role, but the breadth of experience beyond Python and ML/RL is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.