Ayush Patel Email & Phone Number

New Jersey, United States

• Partnered with cross-functional teams to gather and document business requirements for Retail Banking and Wealth Management systems, ensuring alignment with financial objectives and technical specifications.• Analyzed large datasets using SQL and Python to provide actionable insights into customer behavior, transaction trends, and financial performance across retail and investment banking sectors.• Facilitated process mapping sessions to identify inefficiencies in the customer onboarding process, recommending enhancements that reduced onboarding time by 15%.• Developed interactive dashboards and financial reports using Tableau and Power BI, delivering real-time insights to senior management on customer behavior, transaction trends, and business performance.• Supported the creation of financial forecasting models using Excel and Python, helping the finance team predict market trends and optimize resource allocation for loan and investment products.

• Performed analysis on 10,000+ patient records, leveraging SQL and Python to identify treatment patterns and correlations with patient outcomes, resulting in a 20% improvement in care quality and satisfaction.• Designed real-time dashboards in Power BI to monitor key healthcare metrics, including patient outcomes, treatment effectiveness, and resource allocation, enhancing decision-making and operational visibility for healthcare providers.• Collaborated with cross-functional teams to gather and document business requirements, ensuring seamless integration with hospital management software and improving the patient intake process, reducing wait times by 15%.• Optimized reporting processes using DAX and Excel, decreasing manual data entry errors and improving claims processing accuracy by 30%, which accelerated reimbursement timelines.• Conducted data analysis on patient records to identify treatment trends, leveraging SQL and Python to provide actionable insights that led to a 20% improvement in patient care quality and satisfaction.

Mumbai, Maharashtra, India

• Implemented regression analysis on sales data using Python to identify key performance indicators (KPIs), resulting in a 15% improvement in revenue forecasting accuracy, directly enhancing business decision-making processes.• Automated BMR reports to improve machine setting precision and production efficiency, leveraging SQL and Microsoft Excel, leading to a 9-hour weekly reduction in manual work.• Built interactive sales performance reports using Google Data Studio, combining sales metrics and KPIs, which contributed to a 9% increase in overall sales performance by uncovering actionable trends and growth opportunities.• Streamlined data tracking for multiple retail stores by utilizing ETL processes and SQL, improving data accuracy by 35%, enhancing the quality and reliability of sales analytics across the organization.• Visualized customer attrition factors in Power BI, enabling targeted retention strategies that reduced customer churn by 23%, contributing to improved customer loyalty and long-term business sustainability.

Master Of Science - Ms, Information Systems

Relevant Course Work: Data Management and Database Design Advanced Database Management Systems Data Science Engineering Methods and Tools.

Bachelor Of Engineering - Be, Electrical And Electronics Engineering

Relevant Course Work : Machine Learning Fundamentals of Python Advanced Statistics Marketing Analytics Management Information Systems