Key Strengths

Exposure to multiple programming languages including Python, Go, C++, Java, and JavaScript.
Demonstrated interest in competitive programming and basic algorithm knowledge through 'Project-alpha'.
Experience with Jupyter Notebook and Dockerfile, relevant for data science workflows.
One listed experience as 'Data Scientist' at NIT Rourkela, though details are sparse.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a broad interest in various technologies and a self-driven learning approach. The 'Pybull' project with Python and Jupyter Notebook, and the 'Project-alpha' for competitive programming, indicate a problem-solving mindset. However, the projects are mostly foundational or learning-oriented, and lack depth in specific data science applications. The single listed experience as 'Data Scientist' at NIT Rourkela aligns with the target role, but without details, it's hard to gauge the actual cultural fit or contribution style.

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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Aniket Pal

Data Scientist

https://www.opentalent.in/aniket-pal

NIT Rourkela

IndiaMember since June 12, 2026

https://www.opentalent.in/aniket-pal

Top Skills

GotypescriptHTMLCSSJavaScriptSCSSPythonC++Jupyter NotebookDockerfileJavaShell

Skills

GotypescriptHTMLCSSJavaScriptSCSSPythonC++Jupyter NotebookDockerfileJavaShell

Experience

NIT Rourkela

Data Scientist

June 12, 2026 – Present

Projects

notes

August 12, 2022 – July 26, 2023

notes — GitHub repository

View Project

analytics-and-specification-Aniket762

December 4, 2021 – December 8, 2021

analytics-and-specification-Aniket762 created by GitHub Classroom

View Project

namaste-go

November 12, 2021 – January 8, 2023

electrical-machines

April 10, 2021 – May 5, 2021

Speed of two slip ring induction motors for different types of cascading operation 🚀

View Project

Project-alpha

October 8, 2020 – June 5, 2022

The aim of the project is to include all the basic code snippets for competitive programming so that when a beginner gets stuck for any syntax or algorithm this repo will help out.

View Project

Key Strengths

Exposure to multiple programming languages including Python, Go, C++, Java, and JavaScript.
Demonstrated interest in competitive programming and basic algorithm knowledge through 'Project-alpha'.
Experience with Jupyter Notebook and Dockerfile, relevant for data science workflows.
One listed experience as 'Data Scientist' at NIT Rourkela, though details are sparse.

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.