Ayaaz Ansari

Product Analyst

Kayzen•  October 2023 - Present•  Bangalore, India

Automated video compression to optimize CDN cost using AWS tools, reducing data transfer cost by ~50%, $20K monthly. Created a suite of APIs for advertisers to set up & manage campaigns which reduced TAT by ~80%. Designed customer feedback mechanisms to optimize the API suite and reached an NPS of 90. Investigated revenue & impressions discrepancies with partners like Appsflyer & Adjust and saved costs of $30K. Collaborated with Product Managers to implement product enhancements, leveraging insights and technical expertise. Onboarded Yandex which increased Russian traffic by 60%, which increased revenue by ~30%. Authored PRDs and conducted RCAs to ensure clear stakeholder communication and effective problem-solving, resulting in improved product quality and more streamlined development processes. Facilitated timely and accurate data requests for stakeholders to support decision-making and resolved product-related queries for clients and internal teams. Conducted market research using third-party tools like Sensor Tower, optimizing targeting and campaign performance. Ensured efficient sprint running - prioritized tasks, maintained the product backlog, led sprint planning and pruning sessions for multiple sprint cycles of 2 weeks.

Product Operations Analyst

Media.net•  April 2021 - October 2023•  Mumbai, India

Played a pivotal role in onboarding Yahoo for a Media.net project, driving close to $500K in daily revenue within a challenging 45-day timeline. Managed tailored client requests with minimal errors, ensuring smooth onboarding. Scheduled reports to monitor statistics and set up data alerts which caught drops in ~15 mins, saving around $100K. Automated processes to streamline tasks, reducing manual efforts, human errors and saving time. Reduced cookie syncing setup TAT by ~30% by automating the process and standardized testing. Implementation of a new Ad stacking method & dynamic A/B testing, increasing revenue by 15% with better CTR & RPM. Conducted quantitative and qualitative analyses to debug issues and formulate Root Cause Analyses (RCAs). Onboarded clients like Kobe Shimbun via Managed Prebid Solution which generated ~$50K in revenue per day. Designed feedback forms and questionnaires for onboarding and setting up new publishers and integrations and optimized the SSP onboarding by automating processes which reduced the turnaround time by 30%.