Anil Kumar

Data Scientist

https://www.opentalent.in/anil-kumar-32

Delhi, IndiaMember since June 25, 2026

Key Strengths

Demonstrated proficiency in Python through multiple personal projects, including those related to environmental and scientific modeling.
Experience with Jupyter Notebook for data analysis and code demonstration.
Exposure to various technologies like HTML, CSS, JavaScript, Objective C, Ruby, and Starlark, indicating a broad interest in programming.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards scientific computing and environmental applications, which could align well with roles requiring analytical problem-solving and data-driven approaches. The diversity of technologies used across projects suggests adaptability and a willingness to explore different tools. However, the lack of team-based projects or explicit collaboration descriptions limits the assessment of cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Projects

NCTP-January-2026-

January 28, 2026 – Present

NCTP-January-2026- — GitHub repository

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IITD-Sonipat

January 9, 2026 – Present

Code notebook for demo

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akumar2312.github.io

December 29, 2025 – Present

Welcome to geoml !

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NCMD

September 24, 2025 – Present

Demo codes

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Python-for-Water-and-Environment

October 12, 2024 – October 12, 2024

Contains all codes for the book titled - "Python for Water and Environment"

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Python-for-Water-and-Environment

October 10, 2024 – October 10, 2024

Contains all codes for the book titled - "Python for Water and Environment"

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Recoveriness

September 7, 2024 – September 11, 2024

Codes and data for "Flash Flood Recovery Analysis"

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INDRAReporter

February 28, 2024 – February 28, 2024

INDRAReporter — GitHub repository

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Simulation-based-calibration-of-Rock-physics-models

March 10, 2023 – March 13, 2023

This repo contains code (developed/modified) for the calibration of rock physics models.

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Key Strengths

Demonstrated proficiency in Python through multiple personal projects, including those related to environmental and scientific modeling.
Experience with Jupyter Notebook for data analysis and code demonstration.
Exposure to various technologies like HTML, CSS, JavaScript, Objective C, Ruby, and Starlark, indicating a broad interest in programming.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Anil Kumar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit