Sneha Yadav

Entry-level AI/ML & Generative AI Candidate

New Delhi, Delhi, India

@sneha_yadav7

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🎓 Bachelor of Computer Applications (BCA) at IGNOU · Graduating 2026

About

Entry-level AI/ML and Generative AI candidate with hands-on project experience in Python, SQL, machine learning, and LLM application development. Has built a customer segmentation solution and is currently developing a document intelligence and RAG assistant using LangChain and related tools.

Education

2024

Bachelor of Computer Applications (BCA)

IGNOU

Computer Applications · 2024

Computer Applications

Skills

<3 months

SQL RAG NumPy Python Pandas CrewAI FastAPI PyTorch Seaborn LangChain LangGraph Matplotlib TensorFlow scikit-learn Machine Learning Prompt Engineering Unsupervised Learning Data Structures and Algorithms Generative AI (ChatGPT, Copilot, Gemini)

Tools / apps / platforms

<3 months

Git MySQL Docker Visual Studio Microsoft Azure Microsoft Excel Microsoft Power BI

Projects

Customer Clusters

Python, MySQL, Machine Learning

Developed a customer segmentation solution using unsupervised learning to group customers based on transaction-related characteristics. Designed a relational MySQL database to manage customer and transaction data and store segmentation results. Built an end-to-end workflow covering data management, customer segmentation and result storage for business-oriented customer analysis.
AI Document Intelligence & RAG Assistant

Python, RAG, LLMs, LangChain, Embeddings

Developing an end-to-end document question-answering system that processes PDF documents and generates grounded answers from retrieved document context. Implemented document loading and text processing, followed by chunking to create retrieval-ready document segments. Built the RAG workflow around embeddings, semantic retrieval and LLM-based response generation, with source-document context used to support answers.

Courses & certifications

Mastering AI & Emerging Technologies · IIT (ISM) Dhanbad

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