Sudharshan Shanmugasundaram

Data Scientist

https://talent.gravityer.com/sudharshan-shanmugasundaram

Fallibilistic

Salem, Tamil Nadu, India

Key Strengths

Demonstrated interest and practical experience in various machine learning and deep learning applications, including NLP (Chatbot, Neural Machine Translation), computer vision (Neural Image Caption Generation, Neural Style Transfer, Vanilla GAN), and recommendation systems (Movie-Recommendation-System-using-AutoEncoders).
Proficiency in PyTorch for deep learning implementations.
Experience with Python, Jupyter Notebook, and relevant data science libraries.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong self-driven learning approach and curiosity in advanced AI/ML topics. The diversity of projects, from music generation to cryptocurrency, indicates a broad interest, which could be a good fit for an innovative environment. However, the lack of team projects or professional experience makes it difficult to assess collaboration and cultural alignment in a corporate setting.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

ExamDutyAlterationHelper

March 14, 2020 – July 16, 2020

An android application that helps faculties to change the exam invigilation duty

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Neural-Style-Transfer

January 22, 2019 – June 27, 2019

Neural Style Transfer implementation in PyTorch.It generates image in the style of another image

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Music-Generation

November 27, 2018 – June 27, 2019

Implementation of Music Generation in PyTorch

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Chatbot

November 17, 2018 – June 27, 2019

Chatbot implementation using Cornell Movie Dialog Dataset in PyTorch.The bot can converse with the user and can answer the questions asked though it doesn't pass the Turing Test

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Smart-Contract-Icecubes-ICO

November 14, 2018 – February 2, 2020

Implementation of a Smart Contract for the Initial Coin Offering (ICO) of my cryptocurrency Icecubes

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Cryptocurrency-Icecubes

November 14, 2018 – June 27, 2019

Implementation of my very own cryptocurrency Icecubes

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Vanilla-GAN

November 10, 2018 – November 10, 2018

Vanilla GAN implementation on MNIST dataset using PyTorch

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Neural-Image-Caption-Generation

November 7, 2018 – June 27, 2019

Implementation of Neural Image Caption Generation using Flicker dataset.It generates a descriptive sentence of the uploaded image

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Neural-Machine-Translation

November 2, 2018 – November 11, 2018

Implementation of Neural Machine Translation system using Encoder-Decoder Architecture that translates the input German phrases to English

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Movie-Recommendation-System-using-AutoEncoders

October 31, 2018 – June 27, 2019

Built a Movie Recommendation System using AutoEncoders.It was built using MovieLens Dataset

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Key Strengths

Demonstrated interest and practical experience in various machine learning and deep learning applications, including NLP (Chatbot, Neural Machine Translation), computer vision (Neural Image Caption Generation, Neural Style Transfer, Vanilla GAN), and recommendation systems (Movie-Recommendation-System-using-AutoEncoders).
Proficiency in PyTorch for deep learning implementations.
Experience with Python, Jupyter Notebook, and relevant data science libraries.

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 provided.

Sudharshan Shanmugasundaram

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit