Nikhil Jagirdar

• Performed customer churn analysis using predictive and causal effect analysis with precision of 60% to categorize cancel risk based on churn probability. • Processed large datasets of customers’ NPS survey to identify recurring phrases and topics, contributing to insights for new marketing campaigns and reduction in contract cancelations. • Improved success rate by 10% by optimizing customer appointment scheduling options on webpage through A/B testing.

• Analyzed dealer and end-user sales data and provided business insights to improve sales opportunities. • Provided eCommerce sale insights and basket analysis to increase sales by 2%. • Successfully validated dataset for statistical significance using Hypothesis testing such as ANOVA, MANOVA, and Kruskal Wallis test. • Proposed and analyzed project scoring system to reduce average post-production costs by 50%. • Developed BI dashboards and presented related insights on warranty parts worth $500 million.

Developed a predictive model using a random forest method on the exhaustion condition of diabetic patients with performance accuracy enhancing from 78% to 93%.