Jul 2024 – Jan 2026 · 1 yr 6 mos

• Introducing Paid Features to Free Users
• Cross sell new audio calling feature for users who had mostly engaged with free content. Built a full-cycle communication flow — from introducing the value to reminding and re-engaging — that helped users discover and adopt the feature naturally.
• A/B Experiments & Creative Problem-Solving
• Tried out various messaging styles, call-to-actions, and audience segments to figure out what works best. Focused on real user feedback and iterative testing to improve both clicks and follow-through actions.
• Churn Reduction through Smarter Notifications
• Redesigned notification journeys to better re-engage dormant users by identifying behavioral patterns and creating more personalized and timely nudges. This helped improve user stickiness and brought back many who had dropped off.
• Driving Growth through Content Affinity
• Worked on scaling up genres that resonated well with different user groups by analyzing content preferences and usage behavior. Used this insight to build smarter targeting, which led to more meaningful sessions and better engagement with notifications.
• Organic Growth through Internal Collaborations
• Identified unused promotional spaces within sister brands and leveraged them to highlight our app features through mutual value exchanges. These low-cost initiatives helped drive additional visibility while supporting cross-vertical goals.
• Full-Funnel Thinking
• Enjoy working across the entire user flow — from spotting a gap or opportunity, to brainstorming ideas, running pilots, and learning from outcomes. I like to move fast and focus on what really drives user value.
• Campaigns with Context & Timing
• Launched special campaigns during seasonal dips (like IPL) to maintain user activity. Collaborated with multiple teams to make sure the messaging was relevant and well-timed, leading to noticeable improvement in retention.

Jul 2021 – Aug 2024 · 3 yrs 1 mo

Jul 2020 – Jul 2021 · 1 yr · Bengaluru, Karnataka, India

• Worked with eCommerce team of ANZ to bring together the supply chain and sales team to improve sales planning and outperform quarterly targets.

Jan 2019 – Jul 2020 · 1 yr 6 mos

• Competitive Intelligence Team| Pricing Strategy
• Added 3-member sub-group in the portfolio through business development, identified client’s
• requirement and pitched for possible business solutions
• Influencing pricing decisions taken by category managers by creating Meet/Beat reports based on
• competitor’s product pricing
• Helping drive vendor negotiations by identifying opportunities for the online retailer by comparing its price
• gap with the offline stores
• Built a dashboard to highlight price anomalies (based on the competitor’s price) when it is set abnormally
• low/high by the pricing algorithm
• Advanced Analytics Marketplace | Report Rationalization
• Assisted the team understand and track performance of 3
• rd party sellers to identify key sellers for the
• business and remove regular offenders by providing weekly business reports
• Helped the Retail Analytics team with free 2-day shipping initiative by identifying opportunities to increase
• adoption by sellers this in turn helped in outperforming the GMV target by 4% and improving seller
• NPS by 6 points
• Customer Analytics Team | Video Streaming | Performance Dashboards
• Leading a team of 4 decision scientist working on 100+ ad hoc in the past year
• Drove automation for all the reporting deliverables reducing manual intervention by 90% and increasing
• productivity
• Identified KPIs for cadence reports and built tableau dashboards to analyze customer engagement

Feb 2017 – Dec 2018 · 1 yr 10 mos

• Retail Analytics Team of eCommerce Giant | Sales Forecasting
• Forecasted revenue, units and orders using Ensemble stacking of Linear Regression, Support Vector
• Regression, Random Forest models. Category managers and finance team have been using the forecasts
• to identify sales target and use it as the benchmark for company’s performance
• End-to-end automation of weekly performance report for business, reducing human effort by ~80%
• Vendor Management Team of Fortune 100 Australian Retailer | Price Negotiation
• Helped the team save ~$10M per year through better price negotiation with suppliers
• Predicted monthly price increase at category level enabling category managers in better financial planning
• Customer Analytics Team | Mass Media | Customer Churn | Retention Campaign
• Helped in designing and managing campaign by targeting customers at risk to improve retention by 15%
• Performed customer segmentation to analyze change in customer behavior over time to help marketing
• team revamp retention campaigns

Jul 2015 – Jan 2017 · 1 yr 6 mos

• BI and Supply Chain Team | Fortune 100 Bio-Pharmacy | Business Intelligence Reporting
• Created VBA based dashboard to track shipment schedule to help supply chain team in reducing shipment cost and
• lead time along with better planning
• Provided financial reports to the BI team for tracking sales and market share for flagship products