Surjodoy Ghosh Dastider

Data Scientist

https://talent.gravityer.com/surjodoy-ghosh-dastider

IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'price-sense-ai', 'MNIST-DNN-CNN', and 'LSTM-PennTreebank'.
Experience with Python, a core language for Data Science.
Exposure to foundational ML concepts through Coursera courses (Andrew Ng, Johns Hopkins University).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong self-starter attitude and a drive for continuous learning, evidenced by numerous personal projects and Coursera course completions. The projects align well with a Data Scientist role, showing initiative in exploring various ML/AI applications. However, the projects are predominantly personal/academic, and there's no information on collaborative work or team dynamics, which are crucial for cultural fit in a professional 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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Projects

price-sense-ai

April 1, 2026 – Present

AI-powered promotion analysis for mid-market retailers

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jetbrains-academy-todolist

November 6, 2020 – November 6, 2020

jetbrains-academy-todolist — GitHub repository

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jetbrains-academy-simplebankingsystem

November 3, 2020 – November 3, 2020

jetbrains-academy-simplebankingsystem — GitHub repository

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jetbrains-academy-tictactoe

October 24, 2020 – October 24, 2020

jetbrains-academy-tictactoe — GitHub repository

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LSTM-PennTreebank

April 15, 2017 – April 15, 2017

Code and weights for an implementation of a language model on the Penn Treebank (PTB) data using LSTM based RNNs.

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MNIST-DNN-CNN

March 19, 2017 – March 19, 2017

A rookie implementation of tensorflow DNN/CNN models on the MNIST dataset

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coursera_ml

June 12, 2015 – June 12, 2015

Course materials for ML on-demand course by Andrew Ng (Coursera)

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swirlypy_test_lessons

April 8, 2015 – October 12, 2014

Experimental lessons for swirlypy, a Python version of swirl.

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datasciencecoursera

March 21, 2015 – March 21, 2015

Repository for Data Science Specialization offered by Johns Hopkins University at Coursera

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test-repository

March 8, 2015 – March 8, 2015

This a beginner test repo.

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'price-sense-ai', 'MNIST-DNN-CNN', and 'LSTM-PennTreebank'.
Experience with Python, a core language for Data Science.
Exposure to foundational ML concepts through Coursera courses (Andrew Ng, Johns Hopkins University).

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.

Surjodoy Ghosh Dastider

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit