NITISH MALPOTRA

Achieved a 40% reduction in customer complaints resolution time by deploying Generative AI and Large Language Models (LLMs) to mine customer feedback and deliver precise, data-driven insights.

Increased data documentation efficiency by 95% through the strategic leveraging of Llama2 (LLM) to extract knowledge from legacy SQL systems, significantly streamlining data accessibility.

Developed and executed the company's cloud data strategy, including a GCP migration blueprint, which improved query response times by 30% via a modern data warehouse implementation.

Increased digital service adoption by 14% (monthly active users) through in-depth funnel analysis and the implementation of targeted UX enhancements.

Strengthened data-informed product strategy by meticulously defining product goals and Key Performance Indicators (KPIs) using a robust performance analytics framework, fostering close collaboration with cross-functional teams.

Improved data processing efficiency by 93% by implementing a cloud-based PII detection tool, ensuring compliance across 40+ digital services.

Achieved a 75% boost in organic lead acquisition by defining a strategic product vision and implementing a comprehensive roadmap for two customer-facing digital products, reaching over 180,000 monthly active users (MAU).

Led cross-functional teams through agile Scrum processes, including sprint planning and backlog refinement on Jira and Miro, ensuring a 95% high-quality and timely delivery of product features.

Drove a 60% uplift in website conversion rates, measured by A/B test results, by leveraging Google Analytics and Salesforce to segment users and refine product features.

Increased organic traffic by 105% Year-over-Year by executing a comprehensive SEO strategy across multiple websites, significantly enhancing discoverability and user acquisition.

Generated over $5M in loan applications by optimizing digital customer journeys through user research, interviews, and data-driven enhancements.

Improved operational efficiency by 80% for analytics requests by automating data pipelines and deploying Power BI dashboards, facilitating data-informed decision-making.

Synthesized insights from stakeholder consultations into actionable Product Requirement Documents (PRDs), facilitating the release of three new features that drove a 35% increase in user retention and a 17% rise in customer acquisition.