 Developed and maintained Power BI dashboards to visualize operational and HR data, improving reporting efficiency by 30%. Utilized SQL for data extraction and transformation, supporting business objectives through robust ETL processes. Conducted sentiment analysis using Python and NLTK to evaluate employee feedback and enhance engagement. Created ETL data pipelines using PySpark for various dashboards, ensuring seamless data extraction, transformation, and loadingprocesses for enhanced analytical insights. Automated Power BI dashboards with SQL, ensuring real-time data updates and reducing manual updates by 50%. Collaborated with cross-functional teams to create data visualizations and reports, communicating actionable insights. Designed and implemented a performance monitoring dashboard for employee evaluation, streamlining the tracking process and saving 40% of higher management's time using Power BI and MS SQL. Designed and generated complex operational reports using Advanced Excel and SQL, delivering actionable insights to senior management and improving data-driven decision-making by 20%.

 Worked on designing and developing interactive dashboards in Tableau, translating complex insurance data into visually appealing insights. Additionally, I have used Python for data visualization and automation. Worked in Excel with advanced data manipulation and analysis skills, coupled with strong SQL knowledge, enabling me to efficiently extract, transform, and analyze insurance-related data for informed decision-making. Used Salesforce, allowing for seamless integration and analysis of sales and customer data within the insurance domain, enhancing customer relationship management and sales strategies. Worked on a combination of Excel, SQL, Python, and Tableau skills to facilitate data-driven decision-making processes, resulting in improved operational efficiency and profitability in the insurance industry.

-- Generated and maintained MIS monthly and weekly reports using Advanced Excel for key stakeholders, providing actionable insights and analysis to drive informed decision-making.-- Utilized SQL queries to extract and manipulate data from relational databases, ensuring accuracy and completeness of reports.-- Provided ongoing support to senior analysts by addressing queries, and sharing reports