Roshan Kumar Gupta

Data Scientist

https://www.opentalent.in/roshan-kumar-gupta-1

I am a programmer. My focus areas are Machine Learning and Deep Learning.

Mumbai, Maharashtra, India

Key Strengths

Demonstrated interest in various machine learning algorithms through personal projects (K-means, Agglomerative, DBSCAN, SGD, Naive Bayes, Decision Trees, SVM, Logistic Regression, Random Forests, GBDT).
Experience with Jupyter Notebook for data science tasks.
Exposure to basic TensorFlow concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic/personal explorations of machine learning algorithms, which aligns with the technical aspects of a Data Scientist role. However, the lack of team projects, diverse industry applications, or contributions to open-source projects limits the assessment of broader cultural fit and collaboration potential. All projects are listed as 'personal' and primarily use Jupyter Notebook, suggesting a focus on individual experimentation rather than collaborative development or deployment.

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

FunWithTensorflow

January 27, 2020 – February 1, 2020

This repo consists of some basics of Tensorflow

View Project

Facebook-Friend-Recommendation

December 1, 2019 – December 1, 2019

Facebook-Friend-Recommendation — GitHub repository

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Personalized-Cancer-Diagnosis

December 1, 2019 – March 3, 2020

Personalized-Cancer-Diagnosis — GitHub repository

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Random-Forests-GBDT-on-Donors-Choose-dataset

November 10, 2019 – November 10, 2019

Random Forests GBDT on Donors Choose dataset

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Decision-Trees-on-Donors-Choose-dataset

November 10, 2019 – November 10, 2019

Decision Trees on Donors Choose dataset

View Project

SVM-on-Donors-Choose-dataset

November 10, 2019 – November 10, 2019

SVM-on-Donors-Choose-dataset — GitHub repository

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K-means-Agglomerative-DBSCAN-clustering-algorithms-on-Donors-Choose-dataset

November 10, 2019 – March 17, 2020

K-means-Agglomerative-DBSCAN-clustering-algorithms-on-Donors-Choose-dataset — GitHub repository

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SGD-implementation-for-linear-regression

November 10, 2019 – November 10, 2019

SGD-implementation-for-linear-regression — GitHub repository

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Logistic-Regression-on-Donors-Choose-dataset

November 10, 2019 – November 10, 2019

Logistic-Regression-on-Donors-Choose-dataset — GitHub repository

View Project

Naive-Bayes-on-Donors-Choose-dataset

November 10, 2019 – November 10, 2019

Naive-Bayes-on-Donors-Choose-dataset — GitHub repository

View Project

Key Strengths

Demonstrated interest in various machine learning algorithms through personal projects (K-means, Agglomerative, DBSCAN, SGD, Naive Bayes, Decision Trees, SVM, Logistic Regression, Random Forests, GBDT).
Experience with Jupyter Notebook for data science tasks.
Exposure to basic TensorFlow concepts.

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.

Roshan Kumar Gupta

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit