Rishabh Gupta

Data Scientist

https://www.opentalent.in/rishabh-gupta-21

Learning...

IndiaMember since June 25, 2026

Key Strengths

Strong foundational understanding of machine learning algorithms demonstrated through personal projects (GMM-EM, Gibbs Sampling, RBM, K-Means).
Experience with Python for data science and machine learning implementations.
Practical application of ML in an end-to-end project (Badminton-Stroke-Classification).
Exposure to deep learning concepts (charLSTM).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing on core algorithms and visualizations. While demonstrating strong technical curiosity, there is limited evidence of collaborative work, large-scale system contributions, or direct experience in a production data science environment. This suggests a potential gap in cultural fit for a role requiring significant team collaboration and deployment experience.

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

streaming_indicators

May 12, 2023 – April 27, 2025

A python library for computing technical analysis indicators on streaming data.

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Restricted-Boltzmann-Machine

June 5, 2020 – August 11, 2020

Python implementation of Restricted Boltzmann Machine (RBM). And an example on MNIST dataset.

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GMM-EM-Python

June 4, 2020 – April 24, 2023

Python implementation of EM algorithm for GMM. And visualization for 2D case.

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Gibbs-Sampling-Visualized

May 21, 2020 – June 9, 2020

Visualization of Gibbs sampling for 2D Gaussian distribution

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K-Means

May 19, 2020 – May 19, 2020

A simple visualization of K-Means algorithm in 2D

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charLSTM

April 2, 2020 – August 11, 2020

Pytorch implementation of character level LSTM for generating text, trained on Mark Twain's books.

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Badminton-Stroke-Classification

January 18, 2020 – August 11, 2020

Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.

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Turing-Machine-Simulator

January 3, 2017 – January 5, 2017

A simulator for Turing Machine. (WIP)

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process_scheduling

November 3, 2016 – November 23, 2016

A project on comparison of different types of CPU process scheduling.

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CodeChef-Solutions

October 31, 2016 – March 19, 2017

Solutions to some awesome problems from codechef.

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Key Strengths

Strong foundational understanding of machine learning algorithms demonstrated through personal projects (GMM-EM, Gibbs Sampling, RBM, K-Means).
Experience with Python for data science and machine learning implementations.
Practical application of ML in an end-to-end project (Badminton-Stroke-Classification).
Exposure to deep learning concepts (charLSTM).

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.

Rishabh Gupta

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit