Help & Supportcareers@gravityer.com

Kaustubh Khandelwal | Gravity Talent Portal

Kaustubh Khandelwal

Kaustubh Khandelwal

Data Scientist

https://talent.gravityer.com/kaustubh-khandelwal

AI Engineer

IndiaMember since June 24, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/kaustubh-khandelwal

Top Skills

PythonLogosJupyter Notebook

Skills

PythonLogosJupyter Notebook

Projects

Search-Engine-LLM

January 3, 2026 – Present

search engine using LLM

Langchain_Zania

July 14, 2024 – July 14, 2024

Langchain_Zania — GitHub repository

Hackfest

October 29, 2022 – October 31, 2022

Hackfest — GitHub repository

kaustubh

June 28, 2021 – June 28, 2021

kaustubh — GitHub repository

Payment

January 22, 2021 – June 28, 2021

Payment — GitHub repository

Data-Science-Notes

January 10, 2021 – March 7, 2020

This repository contains my notes which I took while taking various Data Science Courses

Payment_Gateway

December 13, 2020 – December 14, 2020

Payment_Gateway — GitHub repository

Autopilot

February 9, 2019 – February 9, 2019

Autopilot — GitHub repository

DLProjects

September 14, 2018 – November 24, 2018

Here you can find my Deep learning project!!

ML-Projects

June 18, 2018 – November 24, 2018

Here you can find my Machine Learning Projects.

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with Python, Jupyter Notebook, and LLM concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects indicate a self-starter attitude and an interest in exploring various data science and machine learning topics. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess cultural fit. The projects are primarily personal, which is common for entry-level candidates but limits insight into collaborative work styles.

Soft Skills & Operational Fit

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