prakashjay

Data Scientist

https://www.opentalent.in/prakashjay

Engineering science...

Qure AI

Key Strengths

Demonstrated interest and practical experience in various deep learning domains through personal projects (GAN, VAE, Diffusion, Flow, ARM, Score matching, EBMs, Image Classification, Computer Vision).
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with competitive programming/hackathons (Analytics Vidya challenges) indicates problem-solving aptitude.
Current role as a Data Scientist at Qure AI, though without details, suggests professional experience in the field.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on deep learning and machine learning, aligning well with a Data Scientist role. The diversity of deep learning models explored (GANs, VAEs, Diffusion, etc.) indicates a strong interest in cutting-edge AI research. However, the projects are all personal, and there's no information on collaborative work or team contributions. The experience level is listed as 0, which contradicts the current Data Scientist role, making it difficult to fully assess cultural fit based on professional experience.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

video_virality

April 10, 2026 – Present

brain activity for a given video, text, image, audio.

View Project

genai

May 13, 2024 – Present

GAN, VAE, Diffusion, Flow, ARM, Score matching, EBMs etc.

View Project

image_foundations

January 17, 2024 – Present

Foundational models in Image overview

View Project

fullstack_dl

December 26, 2020 – July 29, 2021

Full stack deep learning starter blogs.

View Project

computer_vision

July 2, 2019 – February 25, 2024

A principled approach to improving computer vision models.

View Project

av_mckinesy_recommendation_challenge

March 10, 2018 – January 5, 2022

Analytics vidya McKinsey Analytics Recommendation Challenge. Uses neural networks

View Project

Quora_question_pairs_Work

January 27, 2018 – May 22, 2018

Work on Quora Question pairs

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pytorch_classifiers

November 30, 2017 – October 1, 2020

Almost any Image classification problem using pytorch

View Project

av_july_2017

July 3, 2017 – July 3, 2017

Work on AV July 2017 Fractal Hiring Hackathon.

View Project

medium_blogs

September 23, 2016 – February 4, 2022

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

View Project

Key Strengths

Demonstrated interest and practical experience in various deep learning domains through personal projects (GAN, VAE, Diffusion, Flow, ARM, Score matching, EBMs, Image Classification, Computer Vision).
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with competitive programming/hackathons (Analytics Vidya challenges) indicates problem-solving aptitude.
Current role as a Data Scientist at Qure AI, though without details, suggests professional experience in the field.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

prakashjay

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit