Navya Jain

Data Scientist @Paysecure

London, GB

Developing a Chargeback SaaS product, leveraging advanced statistical and machine learning techniques within an Agile framework, achieving over 60% accuracy in risk management and chargeback prediction.• Conducted feature analysis and extraction on 1M+ transaction records, leveraging decision tree and weight of evidence techniques to identify over 30+ key features essential for product development using Python and MongoDB (NoSQL).• Delivered actionable insights and data visualizations using tools such as matplotlib and seaborn from chargeback analysis and segmentation to both technical and non-technical stakeholders.• Developed UAT strategy to validate product functionality and ensure alignment with business requirements before release.• Mentored interns on projects, ensuring 100% on-time delivery and improved output quality.• Collaborated with designers to deliver intuitive UI/UX for a chargeback SaaS product, enhancing user experience.• Partnered with SEON and other external vendors to integrate third-party APIs for model performance uplift.• Worked with cross-functional teams across UK, India, UAE and Romania using SCRUM methodologies to implement data-driven strategies, resulting in a 20% improvement in operational efficiency.