Purbayan Kar

Data Scientist

https://talent.gravityer.com/purbayan-kar

Deep Learning and Machine Learning researcher and enthusiastic, looking for opportunities in these domain.

Kolkata, West Bengal, India

Key Strengths

Extensive personal project experience in deep learning and computer vision, particularly in hyperspectral image analysis.
Demonstrated proficiency in PyTorch for implementing complex neural network architectures.
Strong focus on advanced topics like Generative Adversarial Networks (GANs), Vision Transformers, and various UNet models.
Experience with different types of image processing tasks including classification, segmentation, and super-resolution.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong individual drive and interest in cutting-edge research topics within data science and machine learning. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit. The projects are highly aligned with a research-oriented Data Scientist role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

HetConv3DNet

October 8, 2021 – October 8, 2021

Official PyTorch implementation of Lightweight Heterogeneous Kernel Convolution forHyperspectral Image Classification with Noisy Labels

View Project

HybridSN-pytorch

May 18, 2021 – May 18, 2021

A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

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YouCure

May 14, 2021 – August 18, 2021

YouCure: Your healthcare assistant

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Transformer_f-CLSWGAN

May 1, 2021 – May 1, 2021

Advanced Feature Generating Networks for Zero-Shot Learning with Axial Attention transformer

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Zero-Shot-Super-Resolution

February 2, 2021 – February 2, 2021

A PyTorch implementation of Zero Shot Super Resolution using Residual Feature Fusion classifier and ECA module

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Hyperspectral-Vision-Transformer

February 2, 2021 – May 27, 2021

A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification

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Multi-Kernel-Rotated-Conv-Deconv-Feature-Fusion-SSRN3d

February 2, 2021 – February 2, 2021

Advanced version of 3D Spectral Spatial Residual Network for hyperspectral image classification

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FeatureFusionUNet

February 2, 2021 – March 19, 2021

Various UNet models for satellite images change detection using OSCD dataset

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DeepDeconvResUNet

February 1, 2021 – February 1, 2021

Landslide segmentation using Deep Deconvolutional Residual UNet

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Advanced_GAIN

January 15, 2021 – January 19, 2021

Generative Adversarial Network for missing data imputation

View Project

Key Strengths

Extensive personal project experience in deep learning and computer vision, particularly in hyperspectral image analysis.
Demonstrated proficiency in PyTorch for implementing complex neural network architectures.
Strong focus on advanced topics like Generative Adversarial Networks (GANs), Vision Transformers, and various UNet models.
Experience with different types of image processing tasks including classification, segmentation, and super-resolution.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Purbayan Kar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit