Prathyakshun Rajashankar

Data Scientist

https://talent.gravityer.com/prathyakshun-rajashankar

IIIT-Hyderabad

Hyderabad, Telangana, India

Key Strengths

Extensive personal project experience in Digital Image Processing (DIP) and Computer Vision.
Demonstrated proficiency in Python and Jupyter Notebook for data science and image processing tasks.
Experience with C++ and CUDA for parallel computing, indicating an understanding of performance optimization.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily concentrated in Digital Image Processing and Computer Vision, which aligns well with a Data Scientist role focused on image or video data. The diversity of projects within this niche suggests a strong interest and self-motivation. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit.

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

IPSC_Project

March 16, 2020 – May 2, 2020

Parallel Implementation of Pegasos SVM for IPSC Project

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HMSD_Project_Team1

November 29, 2019 – November 30, 2019

Hydrological Modelling and Software Development Project

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DIP-Project

September 28, 2019 – November 25, 2019

DIP-Project — GitHub repository

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DIP-Monsoon2019-Project

September 28, 2019 – November 22, 2022

DIP-Monsoon2019-Project

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image-dehazing

September 27, 2019 – November 24, 2019

Implementation of IEEE paper on Image dehazing using multiple scale fusion.

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Automatic-Signature-Stability-Analysis-And-Verification-Using-Local-Features

September 27, 2019 – November 24, 2019

Implementation of the paper "Automatic Signature Stability Analysis And Verification Using Local Features" by MI Malik, 2014

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Image-reflection-removal

September 27, 2019 – October 3, 2020

Implementation of CVPR 2015 paper in Matlab

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Dip_project-DreamTeam

September 26, 2019 – November 30, 2019

The objective of the project is to estimate the rotation of two images from the polar mapped amplitude spectra. The proposed method is to estimate the translational shift in the transformed coordinate system by employing 1D phase correlation with adaptive line selection which will reduce the computation cost to a great extent.

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Online-finger-verfication

September 26, 2019 – November 27, 2019

DIP Project

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Image-Dehazing

September 28, 2018 – November 28, 2018

Digital Image Processing project for haze removal in images

View Project

Key Strengths

Extensive personal project experience in Digital Image Processing (DIP) and Computer Vision.
Demonstrated proficiency in Python and Jupyter Notebook for data science and image processing tasks.
Experience with C++ and CUDA for parallel computing, indicating an understanding of performance optimization.

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.

Prathyakshun Rajashankar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit