Ayush Shridhar

Data Scientist

https://talent.gravityer.com/ayush-shridhar

IIIT Bhubaneswar

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through projects like 'Data-Compression-Using-Machine-Learning' and 'NNs-in-PyTorch'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to deep learning frameworks like PyTorch and Keras (via Keras.jl).
Familiarity with ONNX for model interchangeability, as seen in ONNX.jl and ONNXKnet.jl.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal exploration and open-source contributions, which can indicate a proactive and self-driven individual. However, the project descriptions are very brief, making it difficult to fully assess the depth of involvement or collaborative aspects. The single listed work experience as 'Data Scientist' at IIIT Bhubaneswar is current but lacks details, making it hard to gauge cultural alignment with a new organization.

Soft Skills & Operational Fit

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

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Projects

ONNXKnet.jl

April 15, 2019 – April 18, 2019

ONNXKnet.jl — GitHub repository

View Project

bhubaneswar

July 24, 2018 – November 14, 2018

Papers We ❤️ Bhubaneswar

View Project

Adversarial-Training

July 3, 2018 – December 24, 2018

Adversarial-Training — GitHub repository

View Project

Keras.jl

May 20, 2018 – August 7, 2018

Run keras models with a Flux backend

View Project

NNs-in-PyTorch

March 27, 2018 – March 29, 2018

Open sourcing my codes for different neural network architectures, implemented in PyTorch. IMHO, PyTorch is much better than TensorFlow.

View Project

Project-Euler-Solutions

March 19, 2018 – March 21, 2018

Thou shalt not copy.

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ONNX.jl

February 9, 2018 – March 3, 2025

Read ONNX graphs in Julia

View Project

Cross-Platform-Chat-Application

December 7, 2017 – December 7, 2017

Electron Chat Application

View Project

Data-Compression-Using-Machine-Learning

November 11, 2017 – September 29, 2018

Compressing Data with the Help of Deep neural networks.

View Project

tourist-database

October 11, 2017 – December 22, 2017

OOP project.

View Project

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through projects like 'Data-Compression-Using-Machine-Learning' and 'NNs-in-PyTorch'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to deep learning frameworks like PyTorch and Keras (via Keras.jl).
Familiarity with ONNX for model interchangeability, as seen in ONNX.jl and ONNXKnet.jl.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Ayush Shridhar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit