Shharrnam Chhatpar

Data Scientist

https://talent.gravityer.com/shharrnam-chhatpar

Bengaluru, Karnataka, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Machine Learning and Neural Networks through multiple personal projects (Networks, Document-Classifier-using-Neural-Network, Convolutional-Encoder-Decoder-for-Hand-Segmentation, Document-Classification-Using-RNN).
Experience with Python, a core language for Data Science.
Exposure to various types of neural networks including feed-forward, convolutional, and recurrent networks.
Practical application of concepts like bag-of-words for document classification.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in machine learning and web development. The diversity of projects, from clipboard sharing to practical submission systems, indicates a broad interest, but also a potential lack of deep specialization in a single area. For a 'Data Scientist' role, the focus on personal ML projects aligns well, but the breadth of other technologies (TeX, Java, CSS, HTML, JavaScript, Ruby) suggests a generalist profile rather than a focused data science background. The absence of professional experience or team projects makes it difficult to assess collaboration or cultural alignment beyond individual initiative.

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

continuous-integration-circle

November 25, 2021 – March 4, 2022

continuous-integration-circle — GitHub repository

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continuous-integration-circle

November 25, 2021 – August 21, 2024

continuous-integration-circle — GitHub repository

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sharnam19.github.io

May 13, 2018 – May 10, 2019

sharnam19.github.io — GitHub repository

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Convolutional-Encoder-Decoder-for-Hand-Segmentation

November 18, 2017 – May 10, 2019

This Repo makes use of an Encoder-Decoder Network to Segment Hand in the given Images

View Project

Document-Classification-Using-RNN

October 27, 2017 – September 12, 2020

RNN Model based Document Classification

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Networks

September 28, 2017 – October 27, 2017

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

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Clipper-Co

March 25, 2017 – March 28, 2017

Multi platform clipboard sharing

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pracSubmission

December 5, 2016 – October 15, 2017

Practical Submission System in React.js and Node.js. built as course project for DBMS in SEM-IV

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Document-Classifier-using-Neural-Network

August 13, 2016 – August 13, 2016

Doc Classifier using bag of words as input

View Project

CalculatorApp

December 27, 2015 – December 27, 2015

CalculatorApp — GitHub repository

View Project

Key Strengths

Demonstrated interest in Machine Learning and Neural Networks through multiple personal projects (Networks, Document-Classifier-using-Neural-Network, Convolutional-Encoder-Decoder-for-Hand-Segmentation, Document-Classification-Using-RNN).
Experience with Python, a core language for Data Science.
Exposure to various types of neural networks including feed-forward, convolutional, and recurrent networks.
Practical application of concepts like bag-of-words for document classification.

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.

Shharrnam Chhatpar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit