Kashif Jamal Email & Phone Number

Bengaluru, Karnataka, India

■ BUSINESS: Program Management, Project Governance, Operational Rigor, Reduce Classification Cost, Provide Scalable Solutions● Drove quarterly Kaizen project workshop, quantify impact, create BRDs, provide support in unblocking further scope of project and aligning with Kingpin goal of program. ● Conducted WBR by working with worldwide POCs to report process health metrics such as utilization, productivity, quality, TP90 and SLA adherence● Improved clustering efficiency of products, for classification, through Parent-Child mapping (grouping highly similar products together), HS6 recommendation and attribute level clustering using fuzzy logic by ~74% and TPH by 22%● Worked with operations team to identify most frequently occurring HS classification defects, concluded on findings, calibrated with quality team on CAPA, sought approval from Leadership on implementation of 2 widgets to in-house classification platform. Collaborated with Tech team to launch these widgets resulting in DPMO reduction from ~16.9K in Q4’21 to ~16.1K in Q2’22● Curated and directed Project Estrella with MX stakeholders , based on forecast planning which enabled increase the MX classification coverage and unblock worth US OPS $6.4 B for NAFN business in 2021.● Designed Optimal Classification Path (OCP): A sequence of most efficient classification strategies using manual, semi-automated and automated techniques for Trade and Regulatory compliance. Implemented it worldwide for 15+ marketplaces which saved ~$5MM Op-Ex in 2022● Used plans and governance framework, reduced business drop-off rates caused due to compliance issue of dual-marketplace-classification-disparity, for Vostok inflow lanes by 85%

Bengaluru, Karnataka, India

■ BUSINESS: HS Classification of products needed to determine correct import duty for cross-country shipment● Created HS classification hierarchies based on global tariff book and business essential product lines of Amazon catalog, and authored Rules to classify them ● Introduced Tech methodologies to Ops team: ETL jobs to fetch scrub data for sampling and review of bulk classification of products● Created multiple tools to reduce cost and manual steps: 1) Smart Sample Generator basis stratified sampling for quality audit to review only distinct false positive products (scrub run EMR cost reduction by ~$12,000/month) 2) Sherlock, based on SQL and VBA, to transition from multiple ETLM jobs to a single, simpler UI tool. 3) Mozart as HS6 Classification Recommendation System basis cross-country classification code of products, with ~95% accuracy● Collaborated with Amazon Tech and Advertising teams to utilize Machine Learning methodologies (DBSCAN) for optimization and scaling of classification process. Performed required analysis and set up proof-of-concept, aligned ops, program and tech to prioritize hierarchical models of business importance, negotiated timeliness and success factors with stakeholders. Performed analysis on recommendations generated by trained model and successfully root caused issues. ● Applied Agile methodologies in setting up Third Party audit program in BLR for US and CA outsourced classification (Cole, PWC and Livingston). Proposed biased and unbiased sampling to find defect-prone classification. Provided feedback and learning from audit to external stakeholders resulting in quality improvement from 84% to 96%.

Bangalore, India

■ BUSINESS :- Launching Amazon.IN across verticals and providing rich customer experience on Amazon Page ● Standardization of catalog template across 12 categories in A.IN marketplace. Creating SOPs for new category launches● Automation of 5 parameters in intake template for catalog creation of 3 categories. Introduced quality check mechanism for catalog team (IN and US)● Worked with vendor and category managers in simplifying their operational expectations and was an integral part of Amazon.IN launch● Created mechanism to reduce SLA on escalation management of catalog defect (customer escalation) from 6 hours to 4 hours (33% reduction)● Created training modules for new hires on Retail Business Services of Amazon

Bachelor Of Engineering - Be, Industrial Engineering And Management

Class 12 (Hsc)

Class 10 (Ssc)