Data Analyst
Current• Developed complex database programs like SQL triggers and stored procedures for implementing the business rules• Diagnosed and resolved SQL query issues and database performance problems, minimizing downtime and improving system reliability• Implemented SQL-based checks and validations to ensure high data quality and consistency across various datasets.• Leveraged SQL to extract data for use in data visualization tools (e.g., Tableau, Power BI), enhancing data presentation and decision-making capabilities.• Worked closely with cross-functional teams to gather requirements and document Python scripts and data analysis processes for transparency and future reference.• Utilized Python to interact with various APIs for data retrieval and integration, enabling real-time data access and analysis from external sources.• Designed and developed interactive Power BI dashboards and reports to visualize complex data, enabling stakeholders to gain actionable insights and make data-driven decisions.• Utilized SQL to perform data validation and cleansing, identifying and correcting discrepancies to enhance data quality.• Developed complex database programs like SQL triggers and stored procedures for implementing the business rules.• Generated comprehensive SQL-based reports and dashboards, providing key metrics and trends to stakeholders.• Conducted ad-hoc data analysis using SQL to support business decisions and generate actionable insights for various departments• Used Python for determining the important variables, factors, cleaning and preprocessing the data.• Developed interactive dashboards and reports in Power BI, providing real-time insights and visualizations that improved decision-making for business stakeholders.