Shiva Singh Bagri

Data Scientist

https://talent.gravityer.com/shiva-singh-bagri

Attention.

IndiaMember since June 12, 2026

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Extensive personal projects showcasing practical application of Machine Learning concepts (e.g., MachineLearningEngine, gpt.cpp).
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to C++ and CUDA, indicating potential for performance optimization in data-intensive tasks.
Projects like 'weatherforecasting-benchmarking' and 'weatherforecastingtoolkit' show interest in time-series data and predictive modeling.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is diverse, covering areas from image data visualization to facial recognition and GPT implementation, suggesting a broad interest in AI/ML applications. The focus on personal projects indicates self-motivation and a proactive learning approach. However, without professional experience or detailed project descriptions, it's difficult to fully assess cultural fit beyond technical curiosity.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

bonjour

June 2, 2026 – Present

bonjour — GitHub repository

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foa

February 20, 2026 – Present

foa — GitHub repository

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OpenSTLFork

February 15, 2026 – Present

OpenSTLFork — GitHub repository

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weatherforecastingtoolkit

June 25, 2025 – October 8, 2025

weatherforecastingtoolkit — GitHub repository

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weatherforecasting-benchmarking

May 20, 2025 – September 9, 2025

weatherforecasting-benchmarking — GitHub repository

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CommAnalysis

March 30, 2025 – September 8, 2025

CommAnalysis — GitHub repository

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AMS

February 15, 2024 – October 26, 2024

AMS (Attendance Management System) integrates facial recognition technology to simplify attendance tracking in educational institutions. This comprehensive solution optimizes the process of marking attendance, enhancing efficiency.

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eagleview

December 10, 2023 – March 4, 2024

Greatly enhances Image Data visualisation

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gpt.cpp

September 25, 2023 – April 11, 2025

GPT2 implementation in c/cuda

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MachineLearningEngine

May 12, 2023 – July 20, 2023

Modular Snippets for flexible Machine Learning Workflow.

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Extensive personal projects showcasing practical application of Machine Learning concepts (e.g., MachineLearningEngine, gpt.cpp).
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to C++ and CUDA, indicating potential for performance optimization in data-intensive tasks.
Projects like 'weatherforecasting-benchmarking' and 'weatherforecastingtoolkit' show interest in time-series data and predictive modeling.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.

Shiva Singh Bagri

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit