Subject Matter Expert
Current• Proficient in creating comprehensive documentation tailored to data analysis deliverables, leveraging analytical insights to ensure alignment with business objectives and use cases.• Optimized customer signals monitoring by developing analytical solutions, followed by data cleaning and preprocessing with Python libraries. Identified key patterns and trends, leading to a 25% increase in conversion rates and 30% improvement in refinement coverage for Amazon US… Show more • Proficient in creating comprehensive documentation tailored to data analysis deliverables, leveraging analytical insights to ensure alignment with business objectives and use cases.• Optimized customer signals monitoring by developing analytical solutions, followed by data cleaning and preprocessing with Python libraries. Identified key patterns and trends, leading to a 25% increase in conversion rates and 30% improvement in refinement coverage for Amazon US Hardlines.• Analysed large datasets, developing efficient workflows for data extraction, transformation, and loading (ETL). Utilizing this data, delivered a comprehensive AWS Quicksight dashboard providing clear visualizations of key business metrics, team KPI metrics, and WBR metrics.• Developed and maintained 3 KPIs to track performance. Identified 12 critical gaps and implemented targeted interventions, resulting in a 43% improvement in product variations and 28% reduction in returns.• Streamlined operations to improve efficiency for new products (less than 6 months) in catalogue by analysing product performance metrics, such as inventory, returns, customer reviews. This resulted in 53K catalogue completeness and 120% increase in overall productivity.Highlights: 1. Successfully set up complex bundle-type Product variations for "Deal of the Day" promotions, resolving non-relevant ASIN issues and ensuring accurate customer review flow. Collaborated with Vendor management team to enhance product availability and sales.2. Led the EU HIP backfill program to enhance efficiency from 68.75% to 86.24% and conversion from 65.52% to 84.7% by Q2’22, using tech platforms for attribute extraction and a custom Python app to eliminate product misclassification.3. Onboarded the FMEA process for program scoping new products in US marketplace, identifying and categorizing 8 risks. Revamped SOPs and enhanced automation, resulting in a 18% increase in productivity and conversion metrics rising from 82% to 95%. Show less