Gautam kaistha

Data Scientist

https://talent.gravityer.com/gautam-kaistha

Data Scientist - Fraud Analytics, Insurance (Personal & Commercial) , Payments fraud, Model Deployment

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebook for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and focused on Python and Jupyter Notebook for data science/ML tasks. This aligns with the technical aspects of a Data Scientist role. However, the lack of team projects, diverse technologies, or professional experience makes it difficult to fully assess cultural fit beyond technical alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

pdf_password

June 15, 2026 – Present

Convert PDF to password protected PDF

View Project

sentiment_engine

April 24, 2026 – Present

sentiment_engine — GitHub repository

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Model_Scripts

February 24, 2026 – Present

Model_Scripts — GitHub repository

View Project

Domain-LLM-Bank

January 13, 2025 – March 5, 2025

Domain-LLM-Bank — GitHub repository

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GEN_AI_Domain_LLM

November 20, 2024 – December 11, 2024

GEN_AI_Domain_LLM — GitHub repository

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ML_exploration

July 22, 2022 – July 22, 2022

ML_exploration — GitHub repository

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Statistcial_Model

April 15, 2021 – April 15, 2021

Statistcial_Model — GitHub repository

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my_codes

April 14, 2021 – July 13, 2021

my_codes — GitHub repository

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Rule_Fit

February 18, 2021 – February 18, 2021

Rule_Fit — GitHub repository

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Data

June 24, 2020 – April 7, 2023

Data — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebook for data exploration and model development.

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.

Gautam kaistha

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit