About Me
Product Analyst with experience across the end-to-end product lifecycle, including requirement analysis, user journey analysis, product analytics, customer sentiment analysis, feature validation, release readiness, and p…
Product Analyst with experience across the end-to-end product lifecycle, including requirement analysis, user journey analysis, product analytics, customer sentiment analysis, feature validation, release readiness, and post-release monitoring. Currently working at Testline AI with hands-on experience in Mixpanel, Firebase, Metabase, SQL, GenAI tools, AI-assisted analysis, and QA. Skilled at combining product data, customer feedback, and AI-assisted workflows to identify product gaps and deliver actionable insights.
Experience
Product Analyst
<p>Work across the end-to-end product lifecycle, from requirement understanding and user-flow analysis to feature validation, release readiness, production monitoring, and post-release analysis.</p><p> Use Mixpanel, Firebase, and Metabase to analyze user behavior, funnels, events, engagement, feature adoption, retention, A/B Testing, and product KPIs.</p><p> Perform customer sentiment analysis using customer feedback, support queries, reviews, and product issues to identify recurring pain points and improvement opportunities.</p><p> Collaborate with Product, Engineering, QA, Design, and Customer Support teams to convert user problems and requirements into actionable product improvements.</p><p> Perform functional, regression, smoke, UI, API, validation, positive, negative, and edge-case testing and support release management and production validation.</p><p> Conduct root-cause analysis (RCA) using product analytics, SQL, API responses, application behavior, configurations, and user journeys to investigate product issues.</p><p> Use Generative AI and AI-assisted analysis with tools such as ChatGPT and AI coding assistants for research, data analysis, documentation, test generation, debugging, and workflow automation.</p><p> Apply vibe coding and AI-assisted development to rapidly prototype, validate, and iterate product ideas, internal tools, dashboards, and analytical workflows.</p><p> Use AI-powered plugins/connectors and productivity tools to gather, analyze, summarize, and transform product and business information into actionable insights.</p>
Technical Apprentice / Academic Mentor
<p>Supported academic operations and reporting for 200+ students, working with faculty and department leadership on data and administrative workflows.</p><p> Built and maintained Excel, Google Sheets, SQL, and Power BI reports and dashboards for KPI and academic performance tracking.</p><p> Automated recurring reporting workflows, reducing manual effort by approximately 3+ hours per week.</p><p> Supported NBA documentation, data validation, departmental reporting, and IT/network troubleshooting.</p>