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hemamalini0708/README.md

👋 Hi, I'm Hema Malini

Data Science | Machine Learning | Generative AI

I build practical AI and ML projects using Python, TensorFlow, Flask, Streamlit, LangChain, and ChromaDB.

I work on end-to-end solutions — from data preprocessing and model training to deployment and evaluation.

I am focused on Data Science, Machine Learning, NLP, and GenAI roles where I can contribute through real project work.

📫 hemamalinig07@gmail.com · LinkedIn · GitHub

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  1. Credit-Card-Risk-Prediction Credit-Card-Risk-Prediction Public

    End-to-end binary classifier on 150K+ records. Used SMOTE to resolve severe class imbalance (8K → 111K samples), benchmarked 5 models, achieved 89.1% accuracy and AUC 0.818 with Random Forest. Prod…

    Python

  2. Food_Classification_Using_CNN Food_Classification_Using_CNN Public

    Multi-class food classifier across 34 categories. Benchmarked Custom CNN vs VGG16 vs ResNet50 on 7,956 training images — VGG16 reached 73.32% validation accuracy. Flask app returns per-prediction n…

    HTML

  3. Sentiment_Analysis Sentiment_Analysis Public

    Sentiment Analysis using Bi-Directional RNN (Deep Learning). Classifies movie reviews as Positive or Negative using TensorFlow & Keras. Covers full pipeline: text preprocessing, word embeddings, mo…

    Python

  4. AI-Powered-Customer-Churn-Prediction-System AI-Powered-Customer-Churn-Prediction-System Public

    End-to-end AI-powered Customer Churn Prediction system that predicts whether a telecom customer will leave or stay based on service usage, billing details, and demographic features. Includes prepro…

    Python

  5. NLPSQL-Offline-Natural-Language-to-SQL-Engine NLPSQL-Offline-Natural-Language-to-SQL-Engine Public

    Offline NL-to-SQL engine — type a question in plain English, get PostgreSQL results instantly. Built with Ollama (local LLM), pgvector RAG, self-healing SQL, Streamlit UI and FastAPI. 100% offline,…

    Python

  6. AI-PDF-Q-A-System-using-RAG-LLM AI-PDF-Q-A-System-using-RAG-LLM Public

    A production-grade RAG system that lets users upload any PDF and ask questions in plain English. Built with LangChain, ChromaDB, HuggingFace Embeddings, Groq LLaMA 3, and Streamlit. Returns precise…

    Python