• Developed Python scripts to automate insights extraction from 70,000+ customer support interactions, employing topic-modeling algorithms and LLMs to optimize backlog prioritization.• Set up A/B testing and comprehensive usage dashboards, leveraging Google Analytics, FullStory, Metabase, and LaunchDarkly to drive 3x funnel growth.• Drove $3M ARR growth through data-driven initiatives to enhance customer engagement, collaborating closely with Customer Success, Engineering, and Marketing teams.• Led a data migration and rebuild project to setup business reporting in-house using BigQuery and Tableau, saving $301K in vendor fees annually.• Reduced revenue loss by 60% through customer journey analysis and redesign of screening processes for fraud detection, incorporating reCAPTCHA and automation for resource cleanup.• Boosted order completion rates by 70% by implementing an intelligent shopping cart experience that saved abandoned carts, leveraging personalized retargeting campaigns and dynamic offers.• Launched an in-console CSAT tracking system, supporting an enhanced user experience and contributing to three successful feature launches in the form of a new support portal, VMaaS and storage offerings.

• Defined the North Star Metric for cloud inference ROI for Adobe and performed Time-Series analysis to spot historical trends• Increased Adobe’s cloud spend efficiency by 83% through intelligent recommendations by analyzing cloud deployment data • Computed clusters of Adobe’s ML Platform users using machine learning algorithms to identify key traits for efficiency optimization• Tested 10+ MLOPs tools on parameters like developer velocity/experience, debuggability, partner support and features

• Conducted product market simulations, evaluated innovation pitches, prepared lectures and graded assignments for a class of 30 students

• Improved Play Store rating (Ezetap POS) from 3.1 to 3.7 by recommending changes after analyzing 8000+ Play Store reviews & competing products• Interviewed 25+ users & incorporated the insights for feature prioritization of MVP increasing DAU & MAU by 200%• Increased the number of sign-ups by 3x by examining customer behavior and shaping the market strategy for payment application• Collaborated with UI/UX & marketing team to enhance user experience, GTM strategy & launch ‘Product Ambassador’ program

• Designed platform for detecting anomalies in IoT sensor data with 98% accuracy using a multi label prediction framework• Boosted sales of pharmaceutical company by 1.5x by creating a recommendation system to recommend brands pitched to doctors• Built Exploratory Data Analysis & Visualization framework reducing time spent on initial data analysis by 90%

• Developed AI enabled Contract Management Platform for intelligent querying across 100,000+ files in seconds• Increased sales by 30% for a consumer goods brand by adjusting price of offerings through static price optimization