Chandresh Maurya

Data Scientist

https://talent.gravityer.com/chandresh-maurya

IndiaMember since June 24, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Controlled_Text_Generation', 'semantic-similarity', 'bert-stack', and 'FiLMing-Multimodal-Sarcasm-Detection'.
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various machine learning concepts such as feature hashing, L2 regularization, and multimodal models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal exploration and self-directed learning in the Data Science domain. The diversity of projects, from web development to advanced NLP, indicates a broad technical curiosity. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.

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

Lipika

October 17, 2022 – May 21, 2023

Lipika — GitHub repository

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Image-Segmentation

July 1, 2022 – September 7, 2022

Image-Segmentation — GitHub repository

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FiLMing-Multimodal-Sarcasm-Detection

October 4, 2021 – January 8, 2022

Code for the paper: FiLMing Multimodal Sarcasm Detection with Attention - ICONIP 2021

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bert-stack

July 7, 2021 – July 8, 2021

Evaluation of bert (unimodal) and various multimodal architecture on stack exchange dataset (android, apple, and superuser)

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IWSLT.github.io

November 16, 2020 – Present

IWSLT.github.io — GitHub repository

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oldsite

September 13, 2019 – March 1, 2023

oldsite — GitHub repository

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semantic-similarity

May 31, 2018 – July 20, 2020

semantic-similarity — GitHub repository

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Controlled_Text_Generation

October 19, 2017 – August 21, 2017

Pytorch implementation of "Toward Controlled Generation of Text" (https://arxiv.org/abs/1703.00955)

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Feature-Hashing

October 16, 2016 – October 16, 2016

Feature-Hashing — GitHub repository

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L2-Regularized-Logistic-Regression

February 19, 2016 – February 27, 2016

L2-Regularized-Logistic-Regression — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Controlled_Text_Generation', 'semantic-similarity', 'bert-stack', and 'FiLMing-Multimodal-Sarcasm-Detection'.
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various machine learning concepts such as feature hashing, L2 regularization, and multimodal models.

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.

Chandresh Maurya

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit