Jeetmanya Joshi

Data Scientist

https://talent.gravityer.com/jeetmanya-joshi

Mumbai, Maharashtra, IndiaMember since June 20, 2026

Key Strengths

Demonstrated interest in Data Science through numerous personal projects.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to various machine learning concepts like Random Forest, Regression, XGBoost, TFIDF, and spaCy.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards data science through a variety of personal projects. However, the projects are primarily conceptual or basic, and there is no information on collaborative work or professional experience. This limits the assessment of cultural fit beyond a general interest in the field.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Projects_76_Tokyo-2020-Monitor-Tweets-Frequency

June 13, 2026 – Present

Projects_76_Tokyo-2020-Monitor-Tweets-Frequency — GitHub repository

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Projects_115_Conceptual-Nhanes_confidence_intervals

June 13, 2026 – Present

Projects_115_Conceptual-Nhanes_confidence_intervals — GitHub repository

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Project_9_DigitRecognitionusing_RANDOMFOREST

June 13, 2026 – Present

Project_9_DigitRecognitionusing_RANDOMFOREST — GitHub repository

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Project_99_-Conceptual-Regression-Diagnostics

June 13, 2026 – Present

Project_99_-Conceptual-Regression-Diagnostics — GitHub repository

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Project_98_PySpark_Basic_DataFrame_Operations

June 13, 2026 – Present

Project_98_PySpark_Basic_DataFrame_Operations — GitHub repository

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Project_97_Price-Elasticity-of-Demand-Analysis

June 13, 2026 – Present

Project_97_Price-Elasticity-of-Demand-Analysis — GitHub repository

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Project_96_Conceptual-nhanes_hypothesis_testing

June 13, 2026 – Present

Project_96_Conceptual-nhanes_hypothesis_testing — GitHub repository

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Project_95_Modeling-House-Price-with-Regularized-Linear-Model-_-Xgboos

June 13, 2026 – Present

Project_95_Modeling-House-Price-with-Regularized-Linear-Model-_-Xgboos — GitHub repository

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Project_94_Conceptual-machine-learning-spaCy

June 13, 2026 – Present

Project_94_Conceptual-machine-learning-spaCy — GitHub repository

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Project_93_BOW_TFIDF_Xgboost_update

June 13, 2026 – Present

Project_93_BOW_TFIDF_Xgboost_update — GitHub repository

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Key Strengths

Demonstrated interest in Data Science through numerous personal projects.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to various machine learning concepts like Random Forest, Regression, XGBoost, TFIDF, and spaCy.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

Jeetmanya Joshi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit