I am a Data Science enthusiast transitioning from an Implementation Analyst role in US Healthcare to Data Science & AI, with a passion for Machine Learning, Deep Learning, and NLP.

I build end-to-end projects, from data preprocessing to model deployment, and actively study RNNs, Transformers, and Large Language Models (LLMs). I enjoy leveraging Keras, TensorFlow, and NLTK for practical AI applications.

Programming & Data Analysis
Python | SQL | Pandas | NumPy | Matplotlib | Seaborn

Machine Learning & AI
Random Forest | Gradient Boosting | XGBoost | Linear & Logistic Regression | RNNs | LSTMs | Transformers | LLMs | Keras | TensorFlow | NLTK

Deployment & Tools
Streamlit | Git | GitHub | Jupyter Notebook | VS Code

Medical Premium Price Prediction
Predict insurance premiums using Random Forest Regressor, deployed with Streamlit
📁 Project Link

Bank Churn Prediction
Predict customer churn using XGBoost, deployed with Streamlit
📁 Project Link