Data Analyst
Current•Developed new SAS processes for ROAS (Return on Ad Spend) analysis, significantly reducing reporting time by up to 30 hours per week and documenting workflows for future team members.•Developed automated reports using Power BI, Python, and MySQL, reducing manual intervention and saving 20 hours per month for an analyst.•Developed machine learning models to segment customers based on sales data, enabling clients to predict future customers and increase sales from specific groups, making insights easy to understand for non-technical people also identified relationships between data points and (client) business outcomes and behaviors for statistically performing relevant analytics (Regression Analysis and Clustering mostly) on existing data.•Currently working on a tool to calculate the flow rate for ozone generators based on the oxygen supply rate and generator size, simplifying the process for clients to achieve their desired ozone output. This tool aims to save clients up to 80% in time spent on third-party calibrations and up to 85% in costs.