• Skilled Data Scientist with 3+ years of expertise in managing and analyzing large datasets, creating predictive models, and presenting data driven insights.• Utilized Power Bi to create interactive dashboards, visualizations, and reports for data analysis and presentation to stakeholders.• Conducted market basket analysis using R to identify product associations and bundle recommendations, resulting in increase in average transaction value.• Managed and queried databases using MySQL, and PostgreSQL, ensuring optimal performance and data integrity for analytics projects.• Deployed data analysis workflows on Microsoft Azure, leveraging cloud-based analytics tools to enhance the scalability of data operations.• Generated ad-hoc reports and performed on-the-fly analysis using SQL queries, increasing the response time to business queries and supporting urgent decision-making processes.• Experience with supporting various tenets of enterprise data management, including data acquisition, data discovery, data profiling, data validation, data quality, and data cleaning.• Assisted with automating reporting functionality using Power BI tools, including Power BI reporting, Dashboards & Scorecards (KPI), and MySQL, Data warehouse data sources, streamlining reporting processes.• Extensively used Python's multiple analyses and visualization packages like Matplotlib, and Seaborn.• Leveraged Power BI's integration with cloud platforms like AWS for scalable data processing and storage solutions.• Used problem-solving skills to identify inefficiencies in data pipelines, implementing solutions that reduced data processing time.