Dipak Khade

Data Scientist

https://talent.gravityer.com/dipak-khade

dipakhade214@gmail.com

IndiaMember since June 12, 2026

Key Strengths

Demonstrated interest in Machine Learning and AI through personal projects ('ML', 'AI-ML-100x').
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a proactive learning attitude through diverse personal projects, including web development, browser automation, and Rust-based server development, alongside AI/ML interests. This breadth suggests adaptability and curiosity, which can be positive for cultural fit. However, the direct alignment with a dedicated Data Scientist role is moderate, as many projects are outside the core data science domain.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Billing-Tracker

April 25, 2026 – Present

Billing-Tracker — GitHub repository

View Project

Mind-Miracles-HTTP-Server

April 18, 2026 – Present

Mind-Miracles-HTTP-Server — GitHub repository

View Project

mind-miracles-app

April 16, 2026 – Present

mind miracles official app

View Project

Browser-Automation

March 29, 2026 – Present

Automate your Browser

View Project

JSONPlaceholder_clone

February 10, 2026 – Present

jsonplaceholder clone in rust using tokio and poem

View Project

AI-ML-100x

January 9, 2026 – Present

AI-ML-100x — GitHub repository

View Project

July 30, 2025 – July 31, 2025

ML — GitHub repository

View Project

what-im-learning

August 1, 2024 – Present

what-im-learning — GitHub repository

View Project

100xdevs

April 25, 2024 – November 16, 2025

100xdevs — GitHub repository

View Project

dipakkhade_dev

February 10, 2024 – Present

new deployment repo for portfolio

View Project

Key Strengths

Demonstrated interest in Machine Learning and AI through personal projects ('ML', 'AI-ML-100x').
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks, a common tool in data science workflows.

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.

Dipak Khade

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit