Sudhanshu kumar

Data Scientist

https://www.opentalent.in/sudhanshu-kumar-2

Software Engineer.

Mumbai, IndiaMember since June 14, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through various personal projects.
Experience with Python for implementing ML algorithms from scratch (e.g., KNN, ML-Algorithms-using-only-Python-and-numpy).
Familiarity with deep learning frameworks like Keras/TensorFlow for transfer learning and CNNs.
Exposure to different ML problem types including classification (hand-written digits, bank note authentication) and regression (wine quality prediction).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and focused on core machine learning algorithms and deep learning. While this aligns with a Data Scientist role, the lack of team projects, diverse industry applications, or collaborative work makes it difficult to assess cultural fit comprehensively. The projects indicate a strong individual drive for learning and implementation.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ML-Algorithms-using-only-Python-and-numpy

December 15, 2019 – March 21, 2020

ML-Algorithms-using-only-Python-and-numpy — GitHub repository

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NLTK_code_snippets

December 24, 2018 – December 27, 2018

NLTK_code_snippets — GitHub repository

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learning-javascript-and-React

November 4, 2018 – November 21, 2018

learning-javascript-and-React — GitHub repository

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boneage_assessment_model

October 14, 2018 – November 21, 2018

boneage_assessment_model — GitHub repository

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coding_challenges

September 20, 2018 – March 23, 2019

coding_challenges — GitHub repository

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KNN_Classifier_using_numpy

July 17, 2018 – July 17, 2018

KNN_Classifier_using_numpy — GitHub repository

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transfer-leaning-with-keras

June 8, 2018 – June 8, 2018

A very easy way to do transfer learning with keras (tensorflow backend).

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Hand-written-digit-classification-with-CNN.

April 7, 2018 – April 7, 2018

A program to classify hand written digits, using CNN model and training over MNIST data set.

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bank-note-authentication2

April 6, 2018 – April 6, 2018

A bank note authentication model to distinguish between real and fake note. model has a single layer fully connected network and an output node .

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wine-quality-prediction-with-simple-linear-regression-model

April 1, 2018 – April 1, 2018

A wine quality prediction model, using simple linear regression with gradient descent as optimizer.

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through various personal projects.
Experience with Python for implementing ML algorithms from scratch (e.g., KNN, ML-Algorithms-using-only-Python-and-numpy).
Familiarity with deep learning frameworks like Keras/TensorFlow for transfer learning and CNNs.
Exposure to different ML problem types including classification (hand-written digits, bank note authentication) and regression (wine quality prediction).

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.

Sudhanshu kumar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit