🚀 Roles:• Analyzed data for the Travel Product team, overseeing analytics for Bus, Train & Flight with XXX Mn MAU.• Achieved 100% automation of the manual tracking process of Strategic Data via BigQuery, ensuring high availability.• Developed A/B tests for 30+ experiments, focusing on hypothesis testing and conversion improvements in Resume cardbooking, Price Slasher, text persuasion, and different user flows.• Owned a Cancellation Protect feature with pricing discovery, resulting in 2% increase in Flight revenue.• Defined WhatsApp tracking metrics, aiding the finance team in cost estimation, with a focus on conflict resolution.• Constructed a Diagnostic tool at the Event Actions level for Tech & PMs, facilitating independent Root Cause Analysis.• Presented weekly updates to the Business Head on performance, gaps, experiments, and insights across all 3 travelverticals.• Designed a Hacker Rank Test for the BA role, attracting +1600 Test Takers with a 4.3 rating. Conducted 18+ interviews.• Decreased homepage DAU drop by implementing a popup for 'Estimated date of travel' upon clicking the Back button,streamlining sales day, price drop notification basis this data. Leading a team of 2 members.• Conducted fraud analysis and established thresholds limit for genuine bookings allowed without impacting business.

Roles:• Analyzed & obtained insights of more than 150 million MAU using BigQuery & Data Studio• Performed Dip Investigation on Podcast Users & Identified possible causes and stabilized user’s retention by 18.4%• Rectified Rewards Policy for Podcasters- favouring one lingual Artists, growth of 6% monthly multilingual uploads• Recommended PhonePe as Priority Payment Gateway- which led to spike in monthly auto-renewal rate by 20%• Automated Fault detection & email Alert for ingested tables (missing tags, duplicate tracks)- improved Data sanitary• Revamped Sections Logic of podcast and added 2 new weights thus, making sections Personalised (Listen again)• Designed Podcast Search Dashboard-identified & resolved failed & abandoned search keywords frequency by 7%• Using Natural language processing on Customer Reviews to assign department wise tags using pythonHighlights:• Increased MPU (Minutes Per User) from 8.6 to 11.2 after unearthing ingestion issues in podcast tables• Bi-weekly presentations to the CEO on Podcast & Creator Economy (UGC) performance, gaps & experiments• Using BQML (BigQuery Machine Learning)- trained a ML Logistics Regression model to identify Auto-Skipping Issues on 50million episodes with 91% accuracy. Identified 218 Shows, fixed & Stabilized the Consumption KPI

• Worked in Javelin Pod & developed analytical tools for the Fortune 100 pharmaceutical clients & their sales force• Worked on a U.S. consulting assignment to identify the data management challenges faced by a global medical devicecompany post its merger.• Developed an understanding of the various pharmaceutical data sources.• Following best practices like UAT, maintaining QCs list & self-test automation for successful and timely completion• Assisted in developing detailed documentation including Requirement specification documents, SOPs, status materialProficiency in clickstream analytics tools and tracking like Google Analytics 360, GA4, Adjust, Braze, etcStrong knowledge of advanced analytics techniques and ability to integrate analytics outputs with digital product.Proficiency in programming languages such as SQL, Python, R, or other data analysis tools. Familiarity with data visualization tools (e.g., Tableau, Power BI) to present insights effectively