Ridheesh Bhan

Analyzed customer payment patterns for PAYGO solar products using data-driven insights, visual dashboards, and statistical methods, resulting in a 12% decrease in device disablement and enhanced operational uptime. Designed and executed analytical treatment logic for call campaigns using Looker, Excel, and Python, leveraging behavioral trends and predictive insights to contribute to a ~10% increas

Identified and documented detailed business rules and use cases based on requirements analysis, increasing revenue by 15%. Created a Google Sheets-based dashboard visualizing KPIs including revenue, nightly rates, booking lead times, and guest profiles, resulting in faster strategic decisions by the CEO. Tested data prediction algorithms based on historical data.

Analyzed client business processes to propose optimal software applications for unique requirements. Developed pricing models that contributed to a 25% increase in net sales across key product categories. Built dashboards that reduced report turnaround time by 35%, improving executive decision-making.

Achieved high satisfaction rating through proactive one-call resolutions of customer issues. Used consultative techniques to understand customer needs and make strategic referrals to business partners. Clarified customer issues and determined the root cause of problems to resolve product or service complaints.

Applied current editing and photography tools to tell great stories. Conducted online research to obtain relevant information and materials. Analyzed conversion and bounce rates to measure the success of content.

Completed an Executive Post Graduate Diploma in Data Science, focusing on advanced data analysis and strategic applications. Gained expertise in leveraging data for business intelligence and decision-making.

Studied Bachelor of Computer Applications, gaining foundational knowledge in computer science and applications. Developed skills in programming, software development, and data management.