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swethagss/README.md

💡 Siva Swetha G

🚀 Bridging the Gap: From Construction to AI & Data Science | Passionate About Building AI-Powered Solutions

Welcome to my GitHub!

I am a Data Science & AI enthusiast with a strong foundation in analytical thinking, stats & ML, AI and problem-solving. My transition from the construction industry to AI & Data Science was driven by my passion for data-driven decision-making and building AI-powered applications.

I specialize in Machine Learning, Deep Learning, NLP, and Generative AI, and I love developing real-world AI solutions that make an impact.


🔥 What I Do

  • 🧠 Machine Learning & Deep Learning – Building intelligent models & optimizing performance
  • 🔍 Natural Language Processing (NLP) – Text processing, Transformer-based models
  • 🎯 Recommendation Systems – Personalized AI-driven recommendations
  • 🤖 Generative AI – Transformers, RAG (Retrieval-Augmented Generation)
  • 🛠 End-to-End AI Applications – AI-powered app development & deployment

🔧 Tech Stack & Skills

📊 Data Science & Machine Learning

Programming: Python
ML Frameworks: Scikit-learn XGBoost
Feature Engineering: Data Cleaning, Transformation, Encoding
Model Evaluation: Accuracy, Precision, Recall, ROC-AUC

🤖 Deep Learning & AI

Neural Networks: ANN, CNN, RNN, LSTM, BiLSTM
DL Frameworks: TensorFlow Keras
Transformer Models: BERT, GPT, RAG for NLP tasks

🔎 NLP & Generative AI

NLP Libraries: NLTK spaCy
Text Processing: Tokenization, POS tagging, Named Entity Recognition (NER)
LLMs & Generative AI: Hugging Face GPT, Google Gemini, LangChain

🔗 Databases & Big Data

SQL Databases: MySQL PostgreSQL
NoSQL: MongoDB
Data Visualization: Matplotlib Seaborn

⚙️ MLOps & Deployment

Model Deployment: StreamlitVersion Control: Git GitHub

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  1. Predictive-Model-for-Real-Estate-Price-Prediction Predictive-Model-for-Real-Estate-Price-Prediction Public

    This project aims to predict property prices using advanced regression techniques, providing accurate estimations based on input features. By leveraging machine learning algorithms, this project en…

    Jupyter Notebook

  2. Flight_Prediction_ML Flight_Prediction_ML Public

    Developed and deployed a machine learning model using Streamlit to predict flight prices

    Jupyter Notebook

  3. Sentimental-Analysis_Amazon-food-reviews Sentimental-Analysis_Amazon-food-reviews Public

    This project focuses on sentiment analysis of Amazon food reviews to classify them as positive ,negative or neutral. Sentiment analysis helps in understanding customer feedback and improving produc…

    Jupyter Notebook

  4. Book-Recommendation-System Book-Recommendation-System Public

    This project creates a Book Recommendation System utilizing collaborative filtering with the Nearest Neighbors (NN) algorithm. The system recommends books by finding similarities in a user-item ma…

    Jupyter Notebook 1