Pritam Chowdhury

Data Scientist

https://talent.gravityer.com/pritam-chowdhury

Eat sleep code and repeat.

kolkata, West Bengal, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ML-Projects', 'Data-Analysis-Project', and 'Credit-Risk-Analysis'.
Experience with Python for data-related tasks and general programming.
Familiarity with Jupyter Notebooks for data analysis and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse interest in areas like steganography, web development (TypeScript, JavaScript), and Java, in addition to data science. This breadth of interest could indicate adaptability and a willingness to explore different technical domains. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or alignment with a specific team culture.

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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Assessing your cultural and operational fit

Projects

PipelineProcessor

August 2, 2024 – September 18, 2024

PipelineProcessor — GitHub repository

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Credit-Risk-Analysis

April 18, 2024 – April 18, 2024

Credit-Risk-Analysis — GitHub repository

View Project

ML-Projects

April 18, 2024 – April 18, 2024

ML-Projects — GitHub repository

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Data-Analysis-Project

April 18, 2024 – May 5, 2024

Data-Analysis-Project — GitHub repository

View Project

python

March 6, 2024 – March 6, 2024

Python programs

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LSB-Steganography

July 3, 2021 – July 3, 2021

LSB-Steganography — GitHub repository

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BPCS-Steganography

July 3, 2021 – July 3, 2021

BPCS-Steganography — GitHub repository

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AnaxportMaster

June 4, 2021 – June 5, 2021

AnaxportMaster — GitHub repository

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blueball

July 7, 2020 – March 5, 2023

blueball — GitHub repository

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multipleButtonGenrator

July 7, 2020 – January 7, 2023

multipleButtonGenrator — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ML-Projects', 'Data-Analysis-Project', and 'Credit-Risk-Analysis'.
Experience with Python for data-related tasks and general programming.
Familiarity with Jupyter Notebooks for data analysis 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.

Pritam Chowdhury

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit