---
title: "Vaishnavi Elluri - Data Science and Generative AI Intern in Hyderabad | Tal"
description: "Meet Vaishnavi Elluri, Data Scientist | GenAI & NLP Engineer | Python, LangChain | RAG | Machine Learning | Deep Learning | SQL| Power BI | Azure AI Certified | Open to Work based in Hyderabad. AI stack includes gemini, hugging face, and langchain."
image: "https://tal.club/meet/vaishnavi-34/share-image"
---

# Vaishnavi Elluri on Tal

## Headline

Data Scientist \| GenAI & NLP Engineer \| Python, LangChain \| RAG \| Machine Learning \| Deep Learning \| SQL\| Power BI \| Azure AI Certified \| Open to Work

## About

I build AI\-powered solutions and data products that bridge the gap between raw data and real business decisions\. With hands\-on experience across the full data science lifecycle from data wrangling and EDA to machine learning, NLP, and Generative AI — I specialise in translating complex datasets into systems that actually work in production\. 🔧 What I Build: → End\-to\-end ML pipelines for classification, regression, and prediction tasks using Scikit\-learn, XGBoost, and TensorFlow → Retrieval\-Augmented Generation \(RAG\) systems and conversational AI using LangChain, GPT\-4 & Gemini Pro → Agentic AI workflows powered by LLMs for automation and intelligent decision support → Interactive Power BI dashboards with DAX measures, KPI tracking, and business insight reporting → Web scrapers and data collection pipelines using BeautifulSoup and Regex 🚀 Projects That Prove It: → NLP Multi\-Label Review Classifier : 85% accuracy, 0\.95 F1\-score, deployed on Hugging Face Spaces → AI Code Reviewer : Gemini Pro \+ Streamlit, tested across 10\+ Python scripts for real\-time bug detection → AI Travel Planner : LangChain \+ Google GenAI, validated across 30\+ travel scenarios → Power BI Churn Dashboard: 25\+ KPIs across 7,000\+ customers, quantified ₹2\.86M revenue impact 🧰 Technical Stack: Python, SQL, Pandas, NumPy, Scikit\-learn, XGBoost, TensorFlow, LangChain, GPT\-4, Gemini Pro, Hugging Face, Streamlit, Power BI, Azure AI, Git 🎯 What Sets Me Apart: I combine a strong foundation in classical ML with the latest in GenAI like RAG architectures, agentic AI systems, and prompt engineering, giving me the ability to contribute across both analytical and AI engineering domains\. Beyond technical depth, I bring a business\-first mindset\. I understand how to frame data work around the outcomes that matter to stakeholders\. 📌 Currently Open To: Data Scientist, AI/ML Engineer, NLP Engineer, Data Analyst, Business Intelligence Analyst roles where I can contribute technical expertise while delivering measurable business value\.

## Location

Hyderabad

## AI stack

gemini

hugging face

langchain

openai

## Work experience

Data Science and Generative AI Intern at Innomatics Research Labs, Jun 2024 \- Jul 2025 · 1 yr 2 mos, Hyderabad, Telangana, India, • Built and deployed 5\+ end\-to\-end ML models across supervised and unsupervised learning paradigms using Scikit\-learn and XGBoost, applying feature engineering, Optuna\-based hyperparameter tuning, and cross\-validation — achieving up to 85% accuracy and 0\.95 F1\-score • Conducted in\-depth EDA on real\-world datasets including 700\+ Flipkart listings, uncovering 5\+ pricing trends and 3\+ feature correlations through Matplotlib and Seaborn visualisations • Developed automated web scraping pipelines using BeautifulSoup and Regex to extract and structure 700\+ product listings from unstructured web sources, improving data quality and consistency • Applied statistical analysis and data wrangling using Pandas and NumPy to clean, transform, and prepare large datasets for modelling, reducing manual preprocessing effort significantly • Gained hands\-on exposure to TensorFlow and deep learning concepts including neural network architecture, model training, and evaluation\.

Process Associate at GENPACT, Oct 2023 \- Jun 2024 · 9 mos, Hyderabad, Telangana, India, Managed high\-volume customer support operations for Google Play \(via Genpact\), handling 100\+ cases daily across simultaneous chat and email channels for one of the world's largest app ecosystems\. Applied critical thinking and data\-informed decision\-making to identify recurring issue patterns, surfacing actionable insights to team leads for process improvement\.

## Education

Data Science, Innomatics Research Labs

Keshav Memorial Institute of Commerce and Sciences \(KMICS\)

[View the original profile](https://tal.club/meet/vaishnavi-34)

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