AI/ML enthusiast and early-career engineer with hands-on experience in Python and Machine Learning. I’ve built practical projects including customer segmentation, churn prediction models, and a RAG-based AI assistant. I enjoy transforming data into meaningful solutions, writing clean and reliable code, and continuously learning new technologies. Passionate about solving real-world problems using AI and eager to grow as an ML and software engineer.
Used K-Means clustering to group customers based on behavior and spending patterns. Performed preprocessing, feature engineering, and visualization to discover meaningful customer groups for targeted marketing strategies.
Built classification models to predict customer churn using supervised machine learning. Applied data cleaning, feature selection, and evaluation metrics to identify at-risk users and reduce business loss.
Developed a Retrieval-Augmented Generation assistant using LangChain and vector search to answer questions from custom documents with accurate, context-aware responses.