Nisarg Vaghela

Data Scientist

https://talent.gravityer.com/nisarg-vaghela

Software developer (Java, JavaScript, Python) | Mobile & Web (React Native, Flutter) | ML (NLP, LLMs). Built "Canary Mail" (1M+ users).

Canada

Key Strengths

Demonstrated interest in machine learning and AI through projects like 'PRAG-LLama', 'Text-to-Image', 'Autonomous-car-Simulation', and 'Doodle-Classification'.
Experience with Python and JavaScript, which are relevant for data science roles.
Exposure to deep learning frameworks (Keras mentioned in 'Doodle-Classification').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for building. The diversity of projects, from web development to AI/ML, suggests a broad interest in technology. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or adaptability in a professional setting. The target role is 'Data Scientist', and while several projects align with this, the overall breadth of projects (e.g., Kanban board, IssueStack) suggests a generalist profile rather than a focused data scientist.

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

kanban_board

August 5, 2024 – August 6, 2024

kanban_board — GitHub repository

View Project

PRAG-LLama

July 19, 2024 – December 8, 2024

PRAG-LLama — GitHub repository

View Project

IssueStack

April 29, 2024 – April 29, 2024

IssueStack is an internal support ticket system built with the MERN stack (React, Node.js, Express, MongoDB).

View Project

NisargVaghela

April 23, 2024 – Present

NisargVaghela — GitHub repository

View Project

Text-to-Image

April 8, 2024 – April 9, 2024

Text-to-Image — GitHub repository

View Project

Acticlass

January 28, 2024 – April 29, 2024

Mobile app to enhance classroom participation through gamification and real-time features (attendance tracking, teacher management).

View Project

Ads-Blocker-extension

April 16, 2020 – May 2, 2020

Basic filtering of advertisement block from html and remove spam hyperlinks.

View Project

StartTrack-game

April 16, 2020 – April 16, 2020

Nice and old game in web using nodeJS , html and p5JS.

View Project

Autonomous-car-Simulation

April 16, 2020 – April 24, 2024

Virtual traffic environment for training autonomous cars using reinforcement learning (obstacle avoidance, dynamic adaptation).

View Project

Doodle-Classification

April 16, 2020 – April 25, 2024

Interactive web app using Keras to classify user-drawn doodles in real-time.

View Project

Key Strengths

Demonstrated interest in machine learning and AI through projects like 'PRAG-LLama', 'Text-to-Image', 'Autonomous-car-Simulation', and 'Doodle-Classification'.
Experience with Python and JavaScript, which are relevant for data science roles.
Exposure to deep learning frameworks (Keras mentioned in 'Doodle-Classification').

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.

Nisarg Vaghela

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit