Dinesh Reddy

• Designed and deployed a sales performance dashboard in Power BI, helping leadership track KPIs across regions, resulting in a 15% increase in sales in Q3.
• Conducted customer churn analysis using Python (logistic regression), enabling the marketing team to launch a targeted campaign that reduced churn by 12%.
• Automated monthly reporting processes using Excel and SQL, cutting manual effort by 40% and improving accuracy.
• Collaborated with product and engineering teams to clean, validate, and interpret A/B testing results.
• Delivered insights on customer behavior through cohort analysis and segmentation, influencing product roadmap decisions.

PROJECTS

Customer Retention Strategy

• Tools: Python, SQL, Power BI
• Created a model to identify customers at risk of churn and proposed retention strategies that improved customer retention by 10%.

. Inventory Optimization Analysis

• Tools: Excel, Power BI
• Analyzed slow-moving products and warehouse stock levels, leading to a 20% reduction in holding costs.

Marketing Campaign ROI Dashboard

• Tools: Power BI, SQL
• Built a dashboard tracking campaign performance by channel and region, which helped reallocate budget to high-performing campaigns