Ashish Fargade

Data Scientist

https://talent.gravityer.com/ashish-fargade

Pune, Maharashtra, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'Confluence-RAG-Chatbot', 'Skin-Disease-Classification', and 'Airbnb-Listings-Insights'.
Proficiency in Python, a core language for Data Scientists, as evidenced by multiple projects.
Experience with Jupyter Notebooks, a common tool in data science workflows.
Exposure to web scraping ('Twitter-webscraper') which can be valuable for data acquisition.
Familiarity with data visualization tools (Tableau in 'Airbnb-Listings-Insights').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects, ranging from web development to data science and machine learning, suggests adaptability and a broad interest in technology. The focus on data-related projects aligns well with a Data Scientist role, indicating a potential good cultural fit for a data-driven team.

Soft Skills & Operational Fit

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

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Projects

Confluence-RAG-Chatbot

October 7, 2025 – October 8, 2025

Confluence-RAG-Chatbot — GitHub repository

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EcoInvest

April 10, 2025 – May 6, 2025

EcoInvest — GitHub repository

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Twitter-webscraper

December 26, 2024 – December 26, 2024

Extracts trending topics from your twitter profile

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Agrosense

October 2, 2024 – December 11, 2024

Agrosense — GitHub repository

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Node-GoogleOAuth2

October 1, 2024 – October 1, 2024

Complete implementation of Google OAuth2 authentication using Passport.js, combined with JSON Web Tokens (JWT) for user authentication in Node.js applications

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Evermont

August 13, 2024 – August 16, 2024

Landing page for evermont

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Airbnb-Listings-Insights

July 7, 2024 – July 7, 2024

This repository contains a Tableau dashboard that visualizes Airbnb listings data, including insights on pricing and location-based averages. The project showcases detailed analyses and interactive visualizations to help understand market trends and patterns.

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PathwaysAndPixels

July 4, 2024 – July 15, 2024

PathwaysAndPixels — GitHub repository

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Skin-Disease-Classification

May 23, 2024 – May 23, 2024

Skin-Disease-Classification — GitHub repository

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Bookstore

March 25, 2024 – March 31, 2024

Bookstore — GitHub repository

View Project

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'Confluence-RAG-Chatbot', 'Skin-Disease-Classification', and 'Airbnb-Listings-Insights'.
Proficiency in Python, a core language for Data Scientists, as evidenced by multiple projects.
Experience with Jupyter Notebooks, a common tool in data science workflows.
Exposure to web scraping ('Twitter-webscraper') which can be valuable for data acquisition.
Familiarity with data visualization tools (Tableau in 'Airbnb-Listings-Insights').

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.

Ashish Fargade

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit