Kalyani Nagraj

Credit Card Product Team.

• Collaborated with the Credit Card Product Team to understand upcoming launches and campaigns, and to support them with strategies for a niche customer base specific to the products.

Marketing Team.

• Collaborated with the marketing team to develop and deploy data-driven strategies for targeted customer campaigns.
• Built and maintained machine learning models to identify relevant customer segments based on transaction behavior, product usage, and demographic data.
• Used Python, SQL, and Excel to process large-scale customer data and generate campaign lists aligned with business goals.
• Improved campaign response rates by optimizing customer targeting through predictive modeling and data analysis.
• Worked in an agile environment, translating marketing objectives into analytical solutions, and presenting insights to stakeholders for decision-making.

PayZapp Product Team.

• Collaborated with the PayZapp product team to support the launch of the new app in January 2023, providing data-driven insights, and strategic recommendations.
• Assisted in migrating customers in phases based on loyalty and transactional behavior, ensuring a seamless transition, and minimal disruption.
• Played a key role in streamlining new data from the new app into existing databases, ensuring compatibility and consistency after switching to a new vendor.
• Remodeled and fine-tuned legacy machine learning models to work with the new data, ensuring that predictive analytics and segmentation remained accurate and effective.
• Conducted an in-depth analysis to identify and prioritize high-value customer segments for targeted engagement, leading to increased adoption and retention.
• Worked with cross-functional teams to ensure seamless integration of data science models, delivering real-time insights to support key product decisions, and post-launch optimizations.