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Nikhil Bisht | Gravity Talent Portal

Nikhil Bisht

Nikhil Bisht

Data Scientist

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

Hyderabad, Telangana, IndiaMember since June 17, 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/nikhil-bisht

Top Skills

Jupyter NotebookPythonPHPJavaScriptCSSTSQLHTMLHack

Skills

Jupyter NotebookPythonPHPJavaScriptCSSTSQLHTMLHack

Projects

bloodbank

October 13, 2019 – October 13, 2019

Blood bank management system

rameshbisht.github.io

April 21, 2019 – January 31, 2023

Static website for perfect windows solution.

IMagic

May 10, 2018 – October 13, 2019

Colorization of black and white image using Deep Learning

Twitter-API

March 23, 2018 – October 13, 2019

This API is for fetching and storing the target tweets with metadata

FileUpload_PHP

January 19, 2018 – January 19, 2018

Dynamic file upload using PHP, JavaScript, JQuery, HTML, CSS

pickurspace

December 26, 2017 – October 13, 2019

A complete source code of real estate based website which is a platform to let and get rooms on rent online

QuizPortal

December 26, 2017 – October 13, 2019

This repository have files related to a portal which enables the students to attempt quiz online

RandomString

December 22, 2017 – December 23, 2017

Generating a random string of mixed numbers and alphabets

Slidingdrawer_android

September 12, 2017 – September 12, 2017

This repository contains the simple code to create a sliding navigation drawer.

Key Strengths

Experience with Jupyter Notebook for data-related projects.
Exposure to Python for API interaction and data fetching.
Demonstrated interest in Deep Learning through the 'IMagic' project.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a mix of web development (PHP, JavaScript) and early-stage data science/machine learning (Jupyter Notebook, Python). This diversity indicates a willingness to explore different technical domains. The 'IMagic' and 'Twitter-API' projects align with the target role of Data Scientist, suggesting a foundational interest in the field. However, the majority of projects are personal and lack detailed descriptions of collaboration or team involvement, making it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

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