VINAY SHINDE

With over 13 years in banking and finance, I'm a Data Analyst who loves using Python and machine learning to understand complex data. I've helped cut customer complaints by 3% and boosted arbitration wins by 8%. I'm good with Excel, Power BI, and SQL, and I know my way around Python and machine learning too. I work well with others and can solve problems. I'm excited to bring my skills to your team.

• Lean Six Sigma Black Belt, Benchmark, 05/01/23
• Python for data science, Learnbay, 11/01/23
• Statistics and Machine Learning for Data Science, Learnbay, 02/01/24
• Tableau & Power BI, Learnbay, 04/01/24
• SQL for data analytics, Learnbay, 04/01/24

1. Customer Complaint Analysis & Process Improvement, Reduced customer complaint capture rates by 3%, leading to improved customer satisfaction and operational effectiveness. Leveraging CRM tools and SQL for data preprocessing, I conducted EDA to identify primary, secondary, and tertiary complaint reasons. Visualizations created in Power BI and Excel helped pinpoint process steps with high complaint rates. Collaborating closely with the product development team, actionable changes based on data insights were implemented.

2. Improved win rates for disputes and fraud transactions, I spearheaded a project focused on analyzing Merchant response timing patterns. By analyzing parameters like flow type, dispute amount, and Merchant type, we identified a threshold for pursuing arbitration with a higher chance of success. This resulted in a successful 8% increase in win rates.