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Swap1984/README.md

👋 Hi, I'm Swapnil

I am a Data Scientist with strong expertise in Machine Learning, Data Analysis, and Generative AI. I enjoy transforming raw data into insights and building end-to-end ML projects that solve real-world problems.

With a solid engineering background and hands-on experience across ML projects,
I confidently design, develop, and deliver end-to-end analytics workflows — from data preprocessing to model deployment.

🚀 What I Do

  • Machine Learning & Predictive Modeling (Classification, NLP, Decision Trees)
  • Word Embedding Techniques (FastText, Word2Vec, GloVe)
  • Generative AI Applications – Summarization, Automation, LangChain
  • Data Analysis & Visualization using Python, Power BI
  • SQL-based data handling & feature engineering
  • Building clean, production-ready ML pipelines

⭐ Key Projects

  • ❤️ Heart Attack Prediction (CART vs C5.0 Decision Trees)
  • 🧠 Word Embedding Comparative Study (FastText, Word2Vec, GloVe)
  • 📊 Titanic Survival Prediction – ML Classification
  • 🤖 Text Summarization using LangChain (LLMs)

🎯 What Defines Me

I’m a solution-oriented Data Scientist With 12+ years of engineering experience and sharp data science skills, who enjoys exploring complex datasets, extracting meaningful insights, and building ML models that genuinely solve real-world problems.

📫 Connect With Me

📫 Connect With Me

LinkedIn

Email

Kaggle

Popular repositories Loading

  1. swapnil swapnil Public

    Swapnil

    Jupyter Notebook

  2. Practice Practice Public

  3. EDA-Data-Exploration EDA-Data-Exploration Public

  4. Heart-Attack-Prediction Heart-Attack-Prediction Public

    Heart Attack Prediction using Decision Tree models (C5.0 & CART). A machine learning project analyzing patient health data to classify heart attack risk, with feature insights, visualizations, and …

    Jupyter Notebook

  5. Water-Quality-Prediction Water-Quality-Prediction Public

    Machine learning project using Random Forest to analyze and predict water quality (potable vs non-potable) based on key parameters. Includes data preprocessing, model training, evaluation, and visu…

    Jupyter Notebook

  6. Stroke-Prediction-Random-Forest Stroke-Prediction-Random-Forest Public

    Machine learning project applying Random Forest classification to predict stroke occurrence based on patient health data. Includes data preprocessing, model training, evaluation, and insights — bui…

    Jupyter Notebook