Shaspachayan Bandyopadhyay

Data Scientist

https://talent.gravityer.com/shaspachayan-bandyopadhyay

Zero to one. Code, clarity, and compounding.

Kolkata, West Bengal, India

Key Strengths

Demonstrated interest in data analysis and data science through personal projects like 'Case-study-01-Finding-the-reason-of-Customer-Churn' and 'Investigating-Netflix-Movies'.
Experience with Python for data-related tasks, as seen in 'Retail-Inventory-Management-System' and 'Investigating-Netflix-Movies'.
Familiarity with Jupyter Notebook for data exploration and analysis ('Building_Database-01', 'Investigating-Netflix-Movies', 'Climate-Change-Earth-Surface-Temperature-Data').
Basic understanding of database concepts through 'Building_Database-01' project.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse range of interests, from web development (JavaScript, HTML, CSS) to data analysis (Python, Power BI, Jupyter Notebook). This breadth indicates a willingness to explore different technologies. The focus on data-related projects aligns with the 'Data Scientist' target role, suggesting a potential fit for roles requiring self-driven learning and application in data science. However, the projects are primarily personal and lack team collaboration context, which is crucial for cultural fit in a professional setting.

Soft Skills & Operational Fit

The provided data is insufficient to assess soft skills and operational fit. No psychometric test results or interview feedback are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Retail-Inventory-Management-System

September 17, 2024 – September 17, 2024

Retail-Inventory-Management-System — GitHub repository

View Project

Building_Database-01

June 30, 2024 – June 30, 2024

Designing a database from scratch using Python on top of PostgreSQL

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Case-study-01-Finding-the-reason-of-Customer-Churn

January 4, 2024 – September 25, 2024

Throughout this case study, I will use Power BI as my data analytics tool. I will follow a structured data analysis process: Ask, Prepare, Process, Analyze, Share & Act. By adopting this methodology,

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Investigating-Netflix-Movies

November 3, 2023 – November 3, 2023

Investigating-Netflix-Movies — GitHub repository

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Climate-Change-Earth-Surface-Temperature-Data

October 7, 2023 – October 8, 2023

Perfroming EDA on global temperatures since 1750

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Khetokibaatkaro

August 12, 2023 – August 13, 2023

Khetokibaatkaro — GitHub repository

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oneShot.py

July 31, 2023 – August 10, 2023

oneShot.py — GitHub repository

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linkedin-clone

April 12, 2023 – May 29, 2023

linkedin-clone — GitHub repository

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Calculator

February 11, 2023 – April 19, 2023

Calculator — GitHub repository

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LearningJavaScript

January 1, 2023 – July 7, 2023

A repo to track regular progresses.

View Project

Key Strengths

Demonstrated interest in data analysis and data science through personal projects like 'Case-study-01-Finding-the-reason-of-Customer-Churn' and 'Investigating-Netflix-Movies'.
Experience with Python for data-related tasks, as seen in 'Retail-Inventory-Management-System' and 'Investigating-Netflix-Movies'.
Familiarity with Jupyter Notebook for data exploration and analysis ('Building_Database-01', 'Investigating-Netflix-Movies', 'Climate-Change-Earth-Surface-Temperature-Data').
Basic understanding of database concepts through 'Building_Database-01' project.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

The provided data is insufficient to assess soft skills and operational fit. No psychometric test results or interview feedback are available.

Shaspachayan Bandyopadhyay

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit