Transform and analyze complex data sets using Python and SQL, leading to a 30% reduction in data processing time and improved accuracy.Create dynamic dashboards and interactive reports using Power BI, enabling cross-functional teams to make informed decisions based on real-time insights.Collaborate with stakeholders to define data requirements and design customized reports, enhancing visibility into key performance metrics.Streamline data validation processes, reducing errors by 20% through rigorous data quality checks and implementing automated validation scripts.Develop advanced Excel models to facilitate financial analysis and forecasting, contributing to accurate budget planning.Present technical findings to non-technical audiences in a clear and accessible manner, fostering collaboration and alignment across departments.Identify optimization opportunities by conducting in-depth data analysis, resulting in a 15% improvement in operational processes.Stay up-to-date with industry trends and technologies, actively participating in webinars and workshops to enhance skill set.

ssisted in data extraction and manipulation using Python scripts, contributing to a 25% reduction in manual data entry.Collaborated with senior analysts to create comprehensive Excel-based financial models, aiding in accurate budget forecasting.Participated in the development of Power BI dashboards, providing visual insights for sales and marketing teams.Conducted data validation tests, identifying and rectifying discrepancies to maintain data integrity.Supported ad-hoc reporting requests, delivering timely and accurate reports to various stakeholders.Contributed to team meetings, presenting findings and suggestions for process improvement.