Nikhil Gangurde
Credit Specialist @E.ON Next
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WORK HISTORY
Credit Specialist @E.ON Next
Nottingham, GB
Driving strategic improvements in credit management processes, customer debt profiles, and market trends to uncover root causes and provide actionable recommendations. Boosted inbound resolutions by 5% weekly through analyzing customer debt trends and team performance metrics, and implementing optimized payment schedules. Enhancing customer journeys by deriving insights from interactions and compliance data, designing tailored payment solutions that balance customer needs with business objectives. Leading process enhancements in debt recovery by leveraging customer feedback and operational data, achieving high recovery performance and maintaining regulatory compliance. Currently working on a project to identify inefficiencies in direct debit scheduling processes and its impact on debt resolution and inbound % resolved, using Tableau for data visualization and Excel for data analysis to deliver actionable recommendations for improvement. Engaging with team members across family to gather feedback and ensure alignment with credit risk management objectives, fostering collaboration and driving impactful changes.
EDUCATION
Veermata Jijabai Technological Institute (VJTI)
Bachelor of Technology - BTech, Electrical Engineering Technologies/Technicians
Nottingham Trent University
Master's degree, Management and Business Analytics
ABOUT NIKHIL GANGURDE
I’m a business and operations analyst with 3 years’ experience improving performance across customer operations and delivery environments. In my current role at E.ON Next, I focus on identifying operational inefficiencies, analyzing performance trends, and turning data into clear actions that improve outcomes. Recently, I: • Increased resolution rates from 5.3% to 55.6% by identifying workflow failures and improving control design • Delivered £490k recovery across a £1.2m portfolio using risk-based prioritisation • Improved process accuracy to 98% through Excel-based validation and tracking models My core strength is translating complex operational data into structured insight that teams can act on, whether that’s through KPI reporting, root cause analysis, or workflow optimization. Technically, I work with Excel, SQL, Tableau, and R to analyze performance and support decision-making. I’m currently looking for business analyst, data analyst, or MI analyst roles where I can contribute to performance improvement, operational efficiency, and data-driven decision support.
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