Professional Overview
As a beginner AI/ML enthusiast, I am building a strong foundation in machine learning and artificial intelligence through hands-on experience with Python and its powerful libraries. My skillset includes working with libraries such as Pandas and NumPy for data manipulation, Matplotlib for data visualization, and TensorFlow, PyTorch, and Keras for developing machine learning and deep learning models.I have a foundational understanding of machine learning concepts, including supervised and unsupervised learning, and have explored algorithms like linear regression, decision trees, and neural networks. I am focused on enhancing my knowledge by implementing real-world projects, experimenting with datasets, and learning advanced techniques in AI/ML.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
