Automated data processing tasks with Python, reducing manual task time by 65%. Implemented machine learning models (ARIMA and SARIMA) for sales, revenue, and customer forecasting, achieving 85% accuracy.Created and maintained daily sales reports in Google Sheets, enhancing data accuracy by 40% and improving timeliness by 50%.Conducted thorough analyses using these ML-driven forecasts, improving business performance by 25% and aiding strategic planning.Implemented key performance… Show more Automated data processing tasks with Python, reducing manual task time by 65%. Implemented machine learning models (ARIMA and SARIMA) for sales, revenue, and customer forecasting, achieving 85% accuracy.Created and maintained daily sales reports in Google Sheets, enhancing data accuracy by 40% and improving timeliness by 50%.Conducted thorough analyses using these ML-driven forecasts, improving business performance by 25% and aiding strategic planning.Implemented key performance indicators (KPIs) based on ML insights to monitor sales trends and optimize inventory turnover, resulting in a 30% reduction in overstock. Show less

Cleaned and processed data from multiple sources, ensuring data integrity and consistency.Compiled data to generate comprehensive datasets, providing a unified view for analysis that improved data accessibility by 50%.Conducted thorough data analysis to uncover key insights, supporting data-driven decision-making that increased operational efficiency by 30%.Implemented machine learning algorithms to identify trends and patterns, achieving 75% accuracy in predictive analytics.