Experience & Projects

• •Designed and implemented complete data pipeline to analyze job market dynamics
• •Employed Python and BeautifulSoup to scrape job postings from multiple sources
• •Used SSIS to automate ETL into MS SQL Server
• •Built interactive Power BI dashboards to visualize trends in job demand, skills, locations, and salaries

• •Automated migration and transformation of large CRM datasets using SQL and Python
• •Performed data cleansing, normalization, and validation
• •Streamlined ETL to improve accuracy and reduce manual work
• •Enhanced data quality and processing efficiency

• •Designed relational database schema with 30+ tables for core banking operations
• •Applied normalization and primary/foreign key relationships
• •Developed optimized SQL queries for large financial datasets
• •Applied Java Networking for One-to-Many server-client communication

Contributed to developing and maintaining Python-based applications. Responsibilities included writing clean code, building backend components and APIs, testing/debugging, collaborating with teams, and following best software development practices.

Led comprehensive business intelligence project focused on electronics retail sales analysis. Utilized advanced data analytics techniques to transform raw transactional data into actionable business insights for strategic decision-making.

• •Conducted comprehensive sales analysis for electronics retail (phones, tablets, laptops)
• •Cleaned and transformed transactional data using SQL and Python
• •Built Power BI dashboards for performance monitoring, revenue trends, and inventory tracking
• •Identified top-selling products and seasonal patterns for marketing optimization