Prashant Hule

Data Scientist

https://talent.gravityer.com/prashant-hule

IndiaMember since June 13, 2026

Key Strengths

Demonstrated interest in MLOps concepts through multiple personal projects (YT-Capstone-Project, YT-MLOPS-Docker, YT-MLOPS-CI, YT-MLOPS-Experiments-with-MLFlow, YT-MLOPS-Complete-ML-Pipeline, YT-MLOPS-DVC-DataVersion).
Experience with Python for data science and machine learning workflows.
Familiarity with containerization (Docker) and orchestration (Kubernetes/Minikube) for ML deployments.
Exposure to experiment tracking and data versioning tools like MLFlow and DVC (with AWS S3).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards MLOps and data science through numerous personal projects. The diversity of tools and concepts explored (Flask, Docker, Kubernetes, Prometheus, Grafana, MLFlow, DVC, AWS S3) indicates a proactive learning attitude. However, all projects are personal and lack details on team collaboration or real-world impact, making it difficult to fully assess cultural fit in a professional team setting. The target role is 'Data Scientist', and while MLOps skills are valuable, core data science skills (e.g., statistical modeling, advanced machine learning algorithms, data analysis, feature engineering) are not explicitly demonstrated in the project descriptions.

Soft Skills & Operational Fit

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

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Projects

YT-Flask

April 15, 2026 – Present

YT-Flask — GitHub repository

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YT-Capstone-Project

February 28, 2026 – Present

This is as end -to-end mlops capstone project for educational purpose

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YT-Prometheus-Grafana-Minikube

February 18, 2026 – Present

This project is use to do the monitoring and alerting implementation on minikube cluster.

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YT-K8S-Mini-Project

February 8, 2026 – Present

This is a mini Kubernetes project build for learning purpose

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YT-MLOPS-Docker

November 18, 2025 – November 19, 2025

This repo is to implement docker with the help of a project demo.

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YT-MLOPS-CI

November 14, 2025 – November 14, 2025

This project is to demonstrate an end to end implementation of Continuous Integration

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YT-MLOPS-Experiments-with-MLFlow

November 12, 2025 – November 13, 2025

YT-MLOPS-Experiments-with-MLFlow

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YT-MLOPS-Complete-ML-Pipeline

October 13, 2025 – October 23, 2025

This project covers the end to end understanding for creating an ML pipeline and working around it using DVC for experiment tracking and data versioning(using AWS S3)

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YT-MLOPS-DVC-DataVersion

October 4, 2025 – October 4, 2025

YT-MLOPS-DVC-DataVersion — GitHub repository

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SeleniumWebHybridFramework

March 25, 2021 – June 19, 2021

SeleniumWebHybridFramework — GitHub repository

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Key Strengths

Demonstrated interest in MLOps concepts through multiple personal projects (YT-Capstone-Project, YT-MLOPS-Docker, YT-MLOPS-CI, YT-MLOPS-Experiments-with-MLFlow, YT-MLOPS-Complete-ML-Pipeline, YT-MLOPS-DVC-DataVersion).
Experience with Python for data science and machine learning workflows.
Familiarity with containerization (Docker) and orchestration (Kubernetes/Minikube) for ML deployments.
Exposure to experiment tracking and data versioning tools like MLFlow and DVC (with AWS S3).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Prashant Hule

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit