Vaishnavi Thakre

Data Scientist

https://talent.gravityer.com/vaishnavi-thakre

BTech Undergrad.

Pune, Maharashtra, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like K-means clustering, Decision Tree, Outlier Detection, and SupplyChain-AI.
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebook for data analysis and model development.
Exposure to LLMs and RAG architecture, relevant for advanced AI applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows initiative through various personal projects, indicating a proactive learning attitude. The diversity of projects, from basic ML models to LLM-based chatbots, suggests an eagerness to explore different areas within AI/ML. However, the lack of team projects or professional experience makes it difficult to fully assess collaboration and cultural alignment.

Soft Skills & Operational Fit

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

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

DraftVista

July 24, 2025 – July 30, 2025

DraftVista — GitHub repository

View Project

dotnet

January 31, 2025 – January 31, 2025

dotnet — GitHub repository

View Project

SupplyChain-AI

November 20, 2024 – December 4, 2024

This repository contains SupplyChain-AI: An AI-powered generative chatbot leveraging LLMs, RAG architecture, and predictive analytics to answer conversation queries in supply chain management.

View Project

groq-LLM-Chatbot

August 16, 2024 – August 16, 2024

This repository contains a real-time chatbot app using Groq's API and various LLMs. Built with Streamlit, it provides an interactive interface to select and chat with different models. Users can easily set up and run the chatbot locally.

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Beijing-Air-Quality-Analysis-Powerbi

July 14, 2024 – July 14, 2024

This repository contains visulizations for Beijing Air Quality Analysis

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ChatBot-UI

July 9, 2024 – July 9, 2024

ChatBot-UI — GitHub repository

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DecisionTree-ML

June 21, 2024 – June 21, 2024

This repository contains ml model for applying decision tree on Iris dataset

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K-means-clustering-ML

June 19, 2024 – June 19, 2024

This repository contains ml model for applying k means clustering on college data

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Outlier-Detection

June 18, 2024 – June 18, 2024

This repository contains ML model for outlier detection

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Leetcode

June 10, 2024 – June 10, 2024

This repository contains practice codes of dsa

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like K-means clustering, Decision Tree, Outlier Detection, and SupplyChain-AI.
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebook for data analysis and model development.
Exposure to LLMs and RAG architecture, relevant for advanced AI applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Vaishnavi Thakre

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit