Demonstrates strong analytical, communication, and teamwork skills, with proven ability to quickly adapt to new environments. Eager to contribute to team success and further develop professional skills. Brings positive attitude and commitment to continuous learning and growth.
Overview
3
3
years of professional experience
Work History
Control Tower Specialist
Amazon - BNA12 (Corporate Office)
12.2024 - Current
Joined pre-launch of NA Control Tower, participating in all trainings (facilitated by EU CT team), including quality, inbound, and outbound tasks, while providing personal insight to assist in the development and structuring of the department.
Execute daily CT operations, including inbound (IXD/SDC) tasks, transfer-out tasks, and providing proactive monitoring of existing sites (performance tracking, late departures, pick-ups)
Bridge data-gaps between 1st-party and 3rd-party by handling routine and ad-hoc requests
Escalate issues to relevant stakeholders and follow-through on resolutions to ensure timely delivery
Continuously communicate with internal and external customers (3PL Providers, Carriers) to provide support and identify improvement opportunities
Contribute to the identification and elimination of root-causes for performance inefficiencies, KPI incompliance, and data-gaps
Work within various time constraints to meet critical business needs, while ensuring service requirements are met within SLA
Quality Process Assistant
Amazon - BNA6 (nIXD)
05.2024 - 12.2024
Participated in the launch (from day-1) of the very first nIXD in the history of Amazon, specifically assisting in the structuring and development of the problem-solve and quality teams for all shifts
Partnered with IB Receive teams on the training and implementation of new Inbound Material Tracking and Provenance (IMTP) process
Conducted daily audits and quality checks for problem-solve piles, WIP pallets, mis-receive shipments, ISS shipments, damage processing, and receive defects (overages/shortages) to ensure adherence of correct processing standards
Consulted with site departments and leadership on both high and low risk process defect findings, identifying root causes, top-offenders, and providing feasible corrective actions
Operations/ OB Problem-Solve Process Assistant
Amazon - TLH2 (ARS,Gen-11)
07.2023 - 05.2024
Participated in the site launch (from day-1), specifically in the operational development of Singles-pack, AFE-pack, and OB Problem-Solve departments
Conducted daily deep-diving and analytics of pack and SLAM defects for root-causes and collaborated with Outbound departments (CAP included) on feasible corrective actions and constructive associate coaching measures
Accepted over-time shifts (per Operation Manager requests) to assist other shift leaders in the identification of high defect rates and provided training in correct standard-work processes for resolving these defects, and how to avoid future defects
Partnered with IB Problem-Solve teams on resolving consistent quality-defects, directly/indirectly affecting Outbound processes (overages, shortages)
IB Problem-Solve Process Assistant
Amazon - TPA4 (ARS, Gen 11)
04.2023 - 07.2023
Tracked quality and productivity metrics for receive, decant, stow, Inbound Support Services (ISS), damage-processing, dwelling inventory and trailer management, SIM trouble-ticket compliance, and inbound problem-solve processes
Led a team of 20+ inbound problem-solvers (including ISS and Damageland), as well as managed staffing and coding based on current business-needs
Partnered with operations to assist in coaching associates on quality defects, and identifying vendor-related discrepancies
Count Amnesty Pick (CAP) Process Assistant
Amazon - TPA4 (ARS, Gen-11)
09.2022 - 04.2023
Led and motivated team, collectively reaching pick rates of 375 to 400 units per hour (UPH) with minimal quality errors, while maintaining a safe and positive work environment
Monitored and managed pick workflow, productivity, quality defects, container dwell-times, and AR floor health
Adjusted associate headcount and placement, based on individual rates/takt-time as needed to ensure optimal pod travel-time with minimal congestion.
Monitored Simple Bin Count (SBC), Cycle Count (CC), and Simple Record Count (SRC) backlog on multiple AR floors, adjusting Count associate headcount according to current business needs
Mentored aspiring associates in professional development for their desired career path
Collaborated with the ICQA team and IB problem-solve in deep-diving root causes of inventory discrepancies and formulated long-term corrective actions