Aspiring Data Scientist & Data Analyst with a strong foundation in Python, SQL, Statistics, Data Analysis, Machine Learning, and Data Visualization.
🎯 Focused on transforming data into meaningful insights and practical machine learning solutions.
🐍 Building data-driven projects using Python, Pandas, NumPy, and SQL.
🤖 Exploring Machine Learning, NLP, Generative AI, and Large Language Models.
📊 Interested in solving real-world problems through data analysis and predictive modeling.
A locally running conversational AI application built with Python, Streamlit, Hugging Face Transformers, PyTorch, and Qwen2.5-0.5B-Instruct.
Key areas: LLM application development, conversation memory, JSON persistence, text generation, Streamlit, Hugging Face Transformers.
🚀 Live Demo: https://qwen-ai-chatbot.streamlit.app/
💻 Repository: https://github.com/DHAKHAD/qwen-ai-chatbot
A data analysis project focused on identifying customer churn patterns and high-risk customer segments using Python, Pandas, NumPy, SQL/SQLite, Matplotlib, and Seaborn.
Key areas: Data cleaning, EDA, feature engineering, churn analysis, segmentation, visualization, and business recommendations.
📊 Data Analysis & Statistics
🤖 Machine Learning
🧠 Natural Language Processing
✨ Generative AI & Large Language Models
🐍 Advanced Python for Data Science
🗄️ SQL & Database Analytics
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