Shashwat

Data Scientist

https://www.opentalent.in/shashwat-4

Mumbai, Maharashtra, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects.
Experience with various ML algorithms (C5.0 decision trees, Naive Bayes Classifier) and frameworks (TensorFlow).
Exposure to Natural Language Processing (sentiment analysis, chatbot with transformers) and Causal Impact Analysis.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows initiative through numerous personal projects, indicating a self-starter attitude. The diversity of projects (ML, NLP, Causal Impact) suggests a broad interest within the Data Science domain, which could align with a dynamic team environment. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

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

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Projects

Exploring-Generative-AI-Libraries

August 3, 2025 – August 3, 2025

Implementation: Building a simple chatbot with transformers

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Shapley-Value

November 19, 2020 – November 19, 2020

Shapley-Value — GitHub repository

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Causal-Impact-Analysis

December 9, 2019 – December 9, 2019

Causal-Impact-Analysis — GitHub repository

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Machine-Learning-

April 24, 2019 – April 24, 2019

Machine-Learning- — GitHub repository

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Machine-Learning

April 24, 2019 – April 24, 2019

Machine-Learning — GitHub repository

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https-github.com-ranasingh-gkp-Machine-Learning

April 24, 2019 – April 24, 2019

https-github.com-ranasingh-gkp-Machine-Learning — GitHub repository

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Tensor-Flow-Machine-Learning

March 13, 2016 – March 13, 2016

TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks.[2] It is a second-generation API which is currently used for both research and production by 50[2]:min 0:15/2:17 different teams in dozens[3]:p.2 of commercial Google products, such as speech recognition, Gmail, Google Photos, and Search.[2]:0:26/2:17 These teams had previously used DistBelief, a first-generation API.

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Identifying-risky-bank-loans-C5.0-decision-trees

March 2, 2016 – March 2, 2016

Using R_identifying risk in bank loans_using C5.0 decision trees algorithms

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Text-Mining-

March 2, 2016 – March 2, 2016

Text Mining in Python_sentiment analysis_using Naive Bayes Classifier

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Senti_Twitter

March 2, 2016 – March 2, 2016

Senti_Twitter — GitHub repository

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Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects.
Experience with various ML algorithms (C5.0 decision trees, Naive Bayes Classifier) and frameworks (TensorFlow).
Exposure to Natural Language Processing (sentiment analysis, chatbot with transformers) and Causal Impact Analysis.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Shashwat

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit