Nikhil Kathole

Data Scientist

https://talent.gravityer.com/nikhil-kathole

Principal Software Engineer, Red Hat

Red Hat

Key Strengths

Experience as a Data Scientist at Red Hat, indicating direct relevance to the target role.
Demonstrated project experience in data-related fields, including 'cheque-parsing' with Feast + Ray + Docling and 'feast-agent' (LLM-powered Data Agent).
Proficiency in Python, a core language for Data Science.
Exposure to MLOps/Feature Store concepts with Feast in multiple projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal, showing initiative and a passion for learning. The current role at Red Hat suggests experience in a large, open-source-oriented company. However, the overall project diversity outside of Python and data-related tools is limited, and the experience level is 0, which contradicts the current role as a Data Scientist. This discrepancy makes it difficult to fully assess cultural fit and readiness for a senior role.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

cheque-parsing

April 28, 2026 – Present

Cheque Parsing with Feast + Ray + Docling

View Project

feast-agent

April 14, 2026 – Present

LLM-powered Data Agent that manages Feast feature store through natural language

View Project

feast-automated-setups

February 19, 2026 – Present

Automated setup repo for feast

View Project

cloudwash

February 2, 2022 – Present

A cloud resources cleanup utility tool

View Project

jenkins-demo

October 29, 2019 – October 29, 2019

Demo for Jenkins CI

View Project

website_src

May 27, 2019 – February 5, 2020

website_src — GitHub repository

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testblame

January 8, 2019 – December 8, 2022

This CLI tool to gather failed tests based on git commit history and sends emails

View Project

TestFM

January 29, 2018 – November 29, 2018

Test suite for Foreman-Maintain

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TCS-Any_One_Can_Code

February 16, 2017 – April 17, 2017

TCS campus commune coding

View Project

Network-Attached-Storage-NAS-Box-using-Raspberry-Pi

December 1, 2016 – October 28, 2017

Network Attached Storage (NAS) Box using Raspberry Pi allows you to install comprehensive applications and services on your Raspberry Pi, whenever you need them.

View Project

Key Strengths

Experience as a Data Scientist at Red Hat, indicating direct relevance to the target role.
Demonstrated project experience in data-related fields, including 'cheque-parsing' with Feast + Ray + Docling and 'feast-agent' (LLM-powered Data Agent).
Proficiency in Python, a core language for Data Science.
Exposure to MLOps/Feature Store concepts with Feast in multiple projects.

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.

Nikhil Kathole

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit