Manish Pande

Data Scientist

https://talent.gravityer.com/manish-pande

Member since June 19, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'tfx-nlp-qa', 'DS-ML-Scala', 'MLCode', and 'DeepPy'.
Experience with Python and Jupyter Notebook for ML development.
Exposure to Scala for ML, indicating versatility in programming languages relevant to data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards data science, machine learning, and deep learning, which aligns well with a Data Scientist role. The diversity in project topics (NLP, probabilistic programming, general ML, Android Material Design) suggests a broad interest, though the descriptions are brief. The use of both Python and Scala for ML indicates adaptability.

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

multi-lang-news-data

July 25, 2020 – July 25, 2020

multi-lang-news-data — GitHub repository

View Project

tfx-nlp-qa

July 3, 2020 – July 3, 2020

End-to-End DL Models Deployment using TFX for NLP - Question and Answering Systems with Explanation or Reasoning

View Project

katacoda-scenarios

April 13, 2019 – April 15, 2019

Katacoda Scenarios

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DS-ML-Scala

August 15, 2017 – August 15, 2017

ML go to repo Scala

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PPL

April 11, 2017 – April 11, 2017

programming paradigm of probabilistic programming

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DeepPy

March 15, 2017 – March 22, 2017

Advanced python implementations

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hyperopt

February 1, 2017 – February 1, 2017

hyperopt — GitHub repository

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Kagglepydicom

January 21, 2017 – January 25, 2017

Kagglepydicom — GitHub repository

View Project

MLCode

December 4, 2015 – February 1, 2017

ML go to repo python

View Project

MaterialDesignAndroid

November 19, 2015 – November 19, 2015

MaterialDesignAndroid — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'tfx-nlp-qa', 'DS-ML-Scala', 'MLCode', and 'DeepPy'.
Experience with Python and Jupyter Notebook for ML development.
Exposure to Scala for ML, indicating versatility in programming languages relevant to data science.

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.

Manish Pande

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit