- Conducted revenue data analysis for a product line of smart home devices, utilizing Python for statistical techniques and SQL for data extraction and manipulation, leading to a 20% increase in forecast accuracy
- Developed a comprehensive PowerBI dashboard to visualize sales, inventory, and revenue trends, providing a unified view that streamlined decision-making and identified underperforming products, resulting in a cost savings of $250K annually
- Analyzed customer behavior and sales data to optimize promotional strategies, increasing customer retention by 15% and boosting overall revenue by 10
- Collaborated with cross-functional teams to interpret complex data sets, apply statistical analysis, and generate actionable insights, enhancing marketing strategies and product positioning in competitive markets
- Led special projects involving data automation and bespoke analysis using Python, improving data processing speed by 40% and presenting strategic recommendations to cross-functional teams