Welcome to my repository! This is a comprehensive collection of machine learning, deep learning, and NLP projects showcasing 12+ years of expertise in the IT and machine learning fields. Here you'll find implementations ranging from binary classification and anomaly detection to customer churn prediction, regression problems, and cutting-edge RAG (Retrieval-Augmented Generation) implementations.

I specialize in building scalable data pipelines and end-to-end machine learning systems. Currently, I'm focused on exploring and fine-tuning Large Language Models (LLMs) for solving real-world business problems. My background combines technical depth with practical implementation experience across various domains.

• Model ML Project - End-to-end implementation for bank marketing data analysis
• Binary Classification - Classification techniques with performance optimization
• Anomaly Detection - Time series analysis for identifying abnormal patterns
• Customer Churn - Predicting and analyzing customer attrition
• YouTube Data Analysis - Statistical insights from video performance data
• Regression Problem - Advanced regression modeling techniques

• Git ChatBot - Conversational assistant leveraging repository knowledge
• StreamLit LLM Interface - Interactive frontend for large language models

• Complete ML Pipeline - Production-ready end-to-end machine learning workflow

• Classification with PyTorch - Neural network implementations for classification tasks
• Natural Language Processing - Text analysis and processing techniques

• Reusable Statistical Functions - Helper libraries for data analysis
• Prompt Engineering Work - Techniques for effective LLM prompting

• Resume

Feel free to explore the code, contribute, and learn with me!