• Designing and implementing KPI scorecards and dashboards in Power BI to report key project metrics, including Agent Performance, Schedule Performance, Departmental Stats, Quality Scores and more.• Actively leading the creation of the organization's first Power BI dashboards leveraging data analytics tools including SQL Server, establishing a robust foundation for data visualization and analysis within the organization.• Develop categorization models in Python to identify potential customer loss and metrics to detect customers at risk of discontinuation, aiming to improve retention.• Creating graphical reports using Python packages such as NumPy, Pandas, Matplotlib, SciPy, and ggplot2.• Performing regression analysis in R programming on various parameters related to demand forecasting.• Generate monthly performance-based client billing reports utilizing MySQL databases.• Developed ETL pipelines to extract data from NoSQL databases and load aggregated data into the analytical platform.

• Clean and transform raw data to ensure accuracy, completeness, and consistency, using tools such as Excel and SQL.• Prepare regular and ad hoc reports and dashboards that provide actionable insights to support business decisions.• Analyzed large datasets using SQL queries to identify trends, patterns, and insights.• Collaborate with cross-functional teams to understand data needs, identify opportunities for process improvement, and provide recommendations based on data analysis.• Performing weekly detailed data analysis to present actionable data to support insights and improvements for internal stakeholders (customer experience, project management, board of directors) and external stakeholders).• Facilitated communication between business stakeholders, product managers, and data engineers to maintain data quality standards.

• Created reporting dashboards and performed data mining and analysis to understand customer purchasing behaviour.• Designed MySQL table schemas and implemented stored procedures to extract and store customer purchase and session data.• Collaborated closely with cross-functional teams to promote statistical best practices in experimental design and data analysis.• Performed Exploratory Data Analysis to identify trends using Tableau and Python.