Product Analyst (Senior - Level 4), Quizizz, Bangalore, India
- Spearheaded end-to-end analytics for the Quizizz-for-work business line, driving data-informed product decisions and strategy
- Shaped and prioritized the product roadmap by synthesizing quantitative and qualitative insights from data analysis, user interviews, and surveys, contributing to the overall product strategy in the 0-1 phase
- Identified and implemented AI-driven features that boosted new-user engagement by ~30% and increased subscription rate by ~20%
- Developed a comprehensive monitoring framework to track sales initiatives' outcomes, leading weekly reviews with the Business head and CEO to ensure product-market fit and business alignment
- Led hypothesis-driven product optimization through A/B testing, resulting in significant user experience improvements and product enhancements
- Accelerated go-to-market strategy by implementing a CRM tool and integrating relevant data within 2 days, enabling data-driven sales processes
- Fostered a data-driven culture by conducting organization-wide training sessions, empowering colleagues to leverage data in product and business decisions
Senior Data Scientist, Instamojo, Bangalore, India
- Built and deployed a machine learning model to generate category tags for merchants using unstructured data such as product images, descriptions, and names. This enabled hyper-narrow category-specific acquisition campaigns on social media platforms, reducing CAC by 15%
- Analyzed and shared actionable insights regarding optimum platforms and placements for digital marketing campaigns, helping acquire high-intent customers at a reduced cost
- Built and implemented a framework for sales and compliance team prioritization, resulting in a 25% increase in subscription rates
- Implemented dynamic discounting strategies for premium plans, doubling incremental subscriptions and contributing to 10% of quarterly subscriptions
- Performed exploratory data analysis to identify potential areas for product improvements, aiding in prioritization of the product roadmap
- Responsible for data and reporting needs of all stakeholders, ensuring accuracy and reliability in decision-making
Data Analyst, BlinkIt (Formerly Grofers), Bangalore, India
- Conceptualized and implemented a data-driven incentive system to enhance warehouse efficiency, resulting in a 17% increase in picker productivity and improved user experience through faster order fulfilment
- Designed and launched an order fulfilment analytics tool, enabling the product team to identify and address key causes of item unavailability, leading to a 4% improvement in overall fill rate and increased customer satisfaction
- Led a cross-functional initiative to optimize warehouse operations, analyzing process bottlenecks and proposing feature enhancements that significantly reduced order processing time and improved delivery speed for end-users
- Spearheaded the development of an inventory management solution to tackle product expiration issues, resulting in a 5% reduction in inventory loss and ensuring a fresher product selection for customers
Associate Consultant - II - Analytics and Data Science, BigBasket, Bangalore, India
- Influenced product strategy for inventory management by developing and implementing a demand forecasting model across 800 locations, reducing wastage from 24% to 5.4% and streamlining stock projections
- Enhanced user retention by building and leveraging a customer churn prediction model to enable targeted feature updates and marketing interventions
- Spearheaded the creation of a comprehensive analytics suite with 15+ dashboards, empowering 400+ stakeholders across marketing, finance, operations, and product teams to make data-driven decisions and optimize user experiences
- Improved product-market fit through in-depth analysis of sales patterns, identifying root causes for category-specific declines and recommending targeted product enhancements
- Established key performance indicators (KPIs) for the bb-Instant product line, enabling rapid identification and resolution of issues in order flow, sales, inventory, and user retention