I’m a passionate Data Scientist with expertise in Machine Learning, Generative AI, and Large Language Models (LLMs). I enjoy solving complex problems using data, building intelligent systems, and deploying scalable solutions. My work spans from fine-tuning transformer models to engineering RAG pipelines and developing AI-driven applications.
Cleaned and transformed banking datasets of 10,000+ records with Python, improving data quality and reducing inconsistencies by 22%.
Conducted exploratory data analysis (EDA) and engineered features such as income segmentation and credit utilization ratios, revealing that 38% of users were medium-income and 17% high-income.
Designed dashboards and presented weekly insights that supported targeted marketing campaigns, improving customer reach by 15% and decision-making speed by 25%.
GPA: 8.3