Headline

Product Analyst at Amazon | Data & Product Analytics | Product |Automating Business Processs

About

My career as a Data Analyst has been defined by a relentless pursuit of knowledge, a thirst for solving complex problems, and a dedication to transforming raw data into actionable insights. Over the past two years, I have had the privilege of collaborating with diverse teams and stakeholders, leveraging data to drive informed decision-making, and making a tangible impact on business outcomes. My proficiency extends across data collection, cleaning, exploration, and visualization, as well as proficiency with data analysis tools and languages such as Python, SQL, and MS PowerBI. While I have cherished every moment of my journey as a Data Analyst, I'm now channelling my passion and enthusiasm toward the fascinating world of Data Science. This evolution is not just a career transition for me; it's a natural progression that aligns perfectly with my interests and aspirations. Data Science, with its blend of machine learning, predictive modeling, and artificial intelligence, offers an opportunity to delve deeper into the intricacies of data and unlock its limitless potential. To prepare for this exciting transition, I have embarked on a rigorous journey of self-improvement and learning. I am actively upskilling in advanced statistical analysis, machine learning algorithms, and programming languages like Python and R.

Location

Bengaluru

AI stack

claude code

claude

codex

geminicli

kiro

Work experience

Business Analyst II - Product Analytics at Amazon, Oct 2026 - Present · 1 mo

Business Analyst - Product Analytics at Amazon, Aug 2024 - Oct 2026 · 2 yrs 3 mos, Spearheaded the launch of the Unified Local Payment Method (LPM) Data Infrastructure, a global redesign of the payment’s foundation processing 2.4B+ orders across all Amazon marketplaces. • Defined the product architecture for a 17-column dynamic mapping system, replacing fragmented legacy pipelines and enabling "no-code" updates for new global payment method launches. • Reduced technical debt and improved product performance by consolidating 3 transformation layers into a unified source of truth, resulting in 80% faster load times and a 5x improvement in query speed. • Partnered with AI and Engineering teams to integrate unified datasets into a Natural Language Query assistant (Stargate), enabling self-service fraud and payment analytics for global business leaders. • Led the end-to-end rollout of the Bad Debt Single Point of Truth (SPOT), centralizing 5 disparate financial sources (Chargebacks, Direct Debits, Invoices) into a standardized data pillar. • Orchestrated stakeholder validation across 10+ Lines of Business (B2B, Digital, Healthcare), ensuring 100% data alignment and driving the migration of core Weekly Business Review (WBR) metrics. • Acted as Product Owner for the FAST UI web application, prioritizing features to resolve reporting fragmentation and boosting organizational operational efficiency by 50%. • Delivered an automated Repeat Offender mitigation system in collaboration with ML teams, preventing a 5% Total Payment Volume (TPV) loss by improving customer tagging accuracy. • Shipped a Feature Parity framework for 8 critical risk monitoring features, integrating CX and enforcement metrics to achieve a 60% improvement in risk identification speed. • Built Automated Refund Flash system analyzing 4-week patterns to identify fraud hot-spots across payment channels, eliminating 6 hours of weekly manual analysis and enabling proactive Fraud detection.

Data Analyst at GXO Logistics, Inc., Sep 2022 - Aug 2024 · 2 yrs, Gurugram, Haryana, India, • Spearheaded the development of a QR Code-based fire extinguisher application, replacing manual processes and boosting productivity by 15% through streamlined verification and PowerBI visualization. • Designed and implemented Heat Map Analysis for warehouses, utilizing Python, SQL, and Excel to categorize inventory movers, resulting in an 8% increase in operational productivity and significant cost savings. • Developed and deployed an advanced PowerBI analytics dashboard, utilizing real-time space utilization data to optimize resource allocation and drive cost savings; achieved a 30% reduction in operational expenses and improved overall space efficiency. • Created a semi-automated system for calculating employee overtime, reducing attrition by 7% through efficient management and reporting via a comprehensive dashboard. • Developed intricate dashboard and reporting tools to track KPIs, enhancing visibility and promoting seamless business coordination Increased Productivity by 4%. • Engineered a real-time Safety Performance System for the Asia-Pacific region, enhancing site supervision for effective management. Achieved a significant 3% reduction in the Recordable Incident Rate (RIR). • Implemented a system to compute, capture, and visualize productivity in Asia Pacific, overseeing resource performance and resulting in a 5% savings

Business Analyst at Earth Empire Pvt Ltd, Mar 2021 - Nov 2021 · 9 mos, Prayagraj, Uttar Pradesh, India, • Implemented innovative approach to convert unstructured data into usable data format for further analysis, producing quantitative visualizations in Tableau to help manage performance. • Automated Analytics Dashboards with the help of Tableau and data from MySQL, which ran through manual intervention before, saving 80% of the time and saving cost. • Proactively communicated and collaborated with Shareholders to manage revenue and other coreenterprise metrics that drive forecasting and strategic planning. • Build the model that predicted the potential customers based on past data using Logistic Regression. • Communicated and presented insights clearly and compellingly to senior leadership of the organization.

Education

Bachelor of Business Administration - BBA (IT), Business Analytics and Management, Mangalmay Institute of Management | Greater Noida