Nishant Bhandigare

Data Scientist

https://talent.gravityer.com/nishant-bhandigare

M.Tech CSE at NIT Calicut | Flutter Developer | MERN Stack Developer | AIML | NSS Volunteer

Mumbai, Maharashtra, India

Key Strengths

Demonstrated interest in Data Science and AI through projects like 'TFML-Assignment-2026', 'AI-Enterprise-Task-Manager', 'Subtitle-Generator-App', and 'AI-Task-Agent'.
Proficiency in Python, a core language for Data Science, evidenced by multiple projects.
Experience with Jupyter Notebooks, a common tool in data analysis and machine learning workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a diverse range of interests, from web development (JavaScript, HTML, CSS) to data science/AI (Python, Jupyter Notebook). This breadth suggests adaptability and a willingness to explore different technical domains. The personal nature of all projects indicates self-motivation and initiative. The projects align reasonably well with a Data Scientist role, particularly those involving Python and machine learning concepts, suggesting a potential cultural fit for a role requiring continuous learning and problem-solving in data-centric areas.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or 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

TFML-Assignment-2026

April 4, 2026 – Present

TFML-Assignment-2026 — GitHub repository

View Project

NITC-Hostel-Mess-Management-System

October 17, 2025 – November 14, 2025

Mess Management System for NIT Calicut

View Project

AI-Enterprise-Task-Manager

September 9, 2025 – September 9, 2025

AI-Enterprise-Task-Manager — GitHub repository

View Project

AI-Task-Agent

July 15, 2025 – July 15, 2025

AI Task Agent is a simple, Python-based task management tool designed to help you organize, track, and manage your daily tasks efficiently. With a focus on simplicity and extensibility, this project uses a straightforward file-based approach, making it perfect for learning, prototyping, or building your own custom task automation workflows.

View Project

Gratitude-Jar

July 10, 2025 – July 10, 2025

Gratitude Jar is a modern, full-stack personal journal app built with MongoDB, Express.js, React, and Node.js. Securely record, edit, and reflect on your daily thoughts and moments of gratitude. Features include user authentication, CRUD journal entries, search/filter, and a clean, responsive design.

View Project

SMA-EXP

April 29, 2025 – April 29, 2025

SMA-EXP — GitHub repository

View Project

DC-EXP

April 23, 2025 – April 23, 2025

DC-EXP — GitHub repository

View Project

ADS-EXP

April 21, 2025 – April 22, 2025

ADS-EXP — GitHub repository

View Project

Coherence25_SacredScripts_WebApp

March 28, 2025 – March 29, 2025

Coherence25_SacredScripts_WebApp — GitHub repository

View Project

Subtitle-Generator-App

March 21, 2025 – March 22, 2025

Subtitle-Generator-App — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and AI through projects like 'TFML-Assignment-2026', 'AI-Enterprise-Task-Manager', 'Subtitle-Generator-App', and 'AI-Task-Agent'.
Proficiency in Python, a core language for Data Science, evidenced by multiple projects.
Experience with Jupyter Notebooks, a common tool in data analysis and machine learning 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.

Nishant Bhandigare

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit