May 2022 – May 2025 · 3 yrs · On-site

• Owned the Content Experience and Serving platform for GlanceTV, working cross-functionally with Engineering, Data Science, Design, Legal, and Content teams.
• Led content experience strategy across TV and mobile, from discovery and personalisation to serving and rendering.
• Drove large-scale product launches and partner integrations, including premium sports experiences and OEM/Telco distributions.
• Owned privacy and compliance initiatives (GDPR readiness), spanning consent management, data workflows, and DSR.
• Built and scaled content monetization systems across global markets (India, Japan, Brazil) in partnership with ad, engg & ad partners.
• Launched brand-led content ad experiences, collaborating with monetization and creative teams.
• Partnered with Data Science to ship engagement-led features like summaries and collections.
• Improved serving accuracy, event instrumentation, and funnel performance across mobile and TV surfaces.

Jan 2022 – Mar 2023 · 1 yr 2 mos · Bengaluru, Karnataka, India

Oct 2021 – Apr 2022 · 6 mos

Jul 2021 – Sep 2021 · 2 mos · Bengaluru, Karnataka, India

• Signup Form Experimentation for homepage improving Signup Conversion by 30% & MTU by 23%.
• Dashboarding & Data instrumentation for Razorpay Website Revamp improving CTR across all folds by 30%.
• Designed OCR performance Dashboard enabling teams to do RCA & improving tool performance.
• Collaborated with PMs & Developers on a regular basis and handled Data Instrumentation, Data Pipeline Design, A/B Testing, PRD writing & reviewing and Impact Assessment for all product releases.

Jan 2021 – Jul 2021 · 6 mos

• Drove +800 daily inbound leads by experimenting & optimising the “Book Online Demo” funnel across web and key mobile journeys.
• Improved Micro-Concept video retention by +17% & revenue by 7L MoM; +4.3% MoM revenue by demo feedback analysis.

Jan 2020 – Jan 2021 · 1 yr

• Part of Uber GSS- Localization Team & Worked as IC cross-functionally with Language, Product, Marketing & Operations vertical.
• Led the Vendor Project Analytics Dashboards from its inception to track SLAs, performance & related KPIs which helped to save $XXK.
• Analyzed UberEATS to off-board languages saving $XXK 2020 Q1.
• Developed Riders, Eaters & Drivers operational & financial metrics dashboards to be used by all verticals.
• Localization workflow optimization which helped to improve the TAT by 20%.
• Led the Monthly Reviewers Appreciation with the Marketing team reducing tickets raised by 15%.
• L10N impact analysis emphasizing the Team Contribution to Net Inflow & Market Share($XXXM) on Global Scale.

Oct 2018 – Dec 2019 · 1 yr 2 mos

• Migration of ETL projects to cloud servers. End to end development, testing & deployment of the projects from Dev-QA to Production Servers.
• Worked with lead architects & consultants to understand the requirements and automated 2 features - Data Mover Check and Files Removal; using shell scripting which were implemented in production.

Aug 2017 – Sep 2018 · 1 yr 1 mo

• Owner of daily BAU (Business as Usual) Activities which included run activities like CT/QA, User Reservation etc. and collaboratively worked with the client to facilitate the data migration to their new CBO platform.
• Data Cleaning & Analysis based on business requirements in case of data absence, redundancy, corruption or unintended change were some of my other responsibilities.

May 2014 – Jun 2014 · 1 mo · Ranchi

• The project was based on the idea to study the spread & control of Malicious Objects in Computer Network.
• The project interestingly analyzed the methods & techniques used in mathematical modelling of biological epidemic to the domain of information technology.
• I was tasked with generating required differential equations for the model, finding Eigen values & Reproduction Number and running simulations in MATLAB.