Anshuman Chhapolia

Data Scientist

https://www.opentalent.in/anshuman-chhapolia

Full-Stack Developer,.

smoke-trees

Key Strengths

Demonstrated interest in Data Science through personal projects like 'sparc' (Smart Grid solution with recurrent networks for prediction) and 'computer-vision' (various computer vision models).
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to microservices architecture in the 'sparc' project, indicating an understanding of scalable system design.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse range of interests, from web development (JavaScript, Docker, EJS, CSS) to system utilities (Go) and configuration (Lua). While this indicates a broad technical curiosity, the direct alignment with a dedicated Data Scientist role's typical project focus is moderate. The 'sparc' and 'computer-vision' projects are highly relevant, but others like 'ssr-react', 'nodejs-backend-template', and 'forum' suggest a broader developer profile rather than a specialized data scientist. The single current role as 'Data Scientist' at 'smoke-trees' is a positive indicator, but without further details on responsibilities, it's hard to fully gauge cultural fit for a specialized data science team.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

neovim

March 2, 2024 – May 26, 2024

My Neovim config

View Project

smoke-dash

June 29, 2023 – June 29, 2023

smoke-dash — repository

View Project

ssr-react

May 15, 2020 – January 7, 2023

ssr-react — repository

View Project

nodejs-backend-template

March 21, 2020 – January 24, 2023

Standardized template for SmokeTrees node.js projects.

View Project

forum

February 16, 2020 – May 14, 2020

forum — repository

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sparc

December 11, 2019 – October 15, 2020

Smart Grid solution which compiles home networks and grids in an effecient manner, controlled by recurrent networks which predict distribution and consumption and also supported by an energy credit system. All running as microservices supporting each other.

View Project

ball-beam

November 3, 2019 – November 3, 2019

ball-beam — repository

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Containing-Edge-Devices

October 12, 2019 – February 19, 2020

Work on Containerization of Edge Devices

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golash

August 29, 2019 – October 19, 2019

Utility library inspired by lodash

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computer-vision

July 23, 2019 – April 2, 2020

All the Computer Vision Models I've worked on

View Project

Key Strengths

Demonstrated interest in Data Science through personal projects like 'sparc' (Smart Grid solution with recurrent networks for prediction) and 'computer-vision' (various computer vision models).
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to microservices architecture in the 'sparc' project, indicating an understanding of scalable system design.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Anshuman Chhapolia

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit