Results-driven professional with over 1.7 years of experience in commercial insurance underwriting associate Recently completed a comprehensive course in Data Science and Analytics with AI, acquiring hands-on experience in SQL, Python, machine learning, and data visualization. Seeking an IT role to leverage analytical skills, domain expertise, and programming knowledge to drive data-driven decisions.
Project on Laptop sales analysis using SQL: Worked with SQL to create and manage tables, implementing various joins (INNER, LEFT, RIGHT, FULL) to extract meaningful insights from relational data and optimize database queries. Conducted SQL-based analysis on laptop sales data to identify top-selling brands, popular price ranges, regional sales trends, and the impact of specifications like processor, RAM, and storage on revenue, providing insights into customer preferences and market demand.
Diamond price prediction using Machine learning: Developed a machine learning model for diamond price prediction, analyzing key features such as carat, cut, color, and clarity to enhance pricing accuracy. The model provided valuable insights into factors influencing diamond prices, aiding in better valuation and market trend analysis.