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Data-pageup/README.md
ASCII portrait Amirtha Ganesh R roles

I take projects from raw data to production: cleaning, embeddings, RAG systems and agentic workflows, with real MLOps behind them. Currently looking for a Data Science role. Let's build something impactful.

🌱 Currently: building agentic AI systems and RAG pipelines
👀 Open to: Data Science / ML Engineer roles
💬 Ask me about: LLM pipelines, RAG, agents, classical ML

🏆 IEEE Published Researcher
☁️ Oracle Cloud Data Science Professional 2025
🤖 Oracle Agentic AI Certified Foundations Associate

🌐 GitHub • LinkedIn • Portfolio
📧 amirthaganeshramesh@gmail.com

Featured Projects

  • GoAnywhere AI: multi-agent travel planner built with LangGraph and FastAPI. GitHub · Live Demo
  • Corrective RAG: privacy-aware hybrid retrieval that runs fully local on Ollama. GitHub
  • Tamil LLM: 23M-parameter Transformer built from scratch in PyTorch. Hugging Face
  • FIFA World Cup 2026 Prediction: Poisson regression + 1,000 Monte Carlo simulations. GitHub

More experience and projects on my portfolio.

Skills & Tools

Languages
ML & Deep Learning
GenAI & LLMs
Data & BI
MLOps & Cloud

Pinned Loading

  1. RippleWorks RippleWorks Public

    A machine learning system that predicts Water Quality Index (WQI) and Water Quality Classification (WQC) using engineered water-quality features. The project includes full preprocessing with missin…

    Jupyter Notebook

  2. Multi_Model_Assistant Multi_Model_Assistant Public

    Upload one or more PDFs, pick your LLM provider, and chat with your documents. DocMind chunks and embeds your files locally, builds a vector store, and routes your questions through a RAG chain bac…

    Python

  3. goanywhere-ai-langgraph goanywhere-ai-langgraph Public

    A multi-agent AI travel planner built with LangGraph, FastAPI, Groq, Tavily, AviationStack, PostgreSQL persistent checkpointing, guardrails, and LangSmith observability.

    Python

  4. Hybrid_Generative_Adversarial_Neural_Network_and_Copula_DataSynthesizer Hybrid_Generative_Adversarial_Neural_Network_and_Copula_DataSynthesizer Public

    A Streamlit app that preprocesses your dataset and generates high-quality synthetic data using Gaussian Copula and CTGAN models, with built-in evaluation and easy CSV export.

    Python

  5. FIFA-2026-Outcome-Prediction-Using-Poisson-Regression-and-Monte-Carlo-Simulation FIFA-2026-Outcome-Prediction-Using-Poisson-Regression-and-Monte-Carlo-Simulation Public

    historical match data trains two Poisson regression models (one for home goals, one for away goals), those models power a match simulator, and that simulator runs the entire 48-team World Cup 1,000…

    Jupyter Notebook

  6. maharashtra-qsr-site-selection maharashtra-qsr-site-selection Public

    A data-driven approach to identifying optimal locations for Quick Service Restaurant (QSR) expansion in Maharashtra, India.

    Jupyter Notebook 2