Sreelakshmi P S

• Teaching ML to track work flow in Amazon fulfillment center.

• Detecting and resolving any issues with stowing and picking of products and maintained an overall APL above 98.8%.

•Improving supply chain management by reducing handling time and optimizing work efficiency with an overall SPL of 10 sec.

•Conducting regular meetings with team members and respective managers to achieve goals and foster the development of both the team and the organization.

PROJECTS;

➢ NIKE JAPAN PILOT

• worked in Amazon Japan NIKE when it started the pilot phase in 2022 to its production in 2023 February.

• Tested and Identified flaws in the system through real time monitoring, and reported bugs and errors.

➢ NIKE ANDON TOOL

• Designed and proposed a tool called ANDON in 2023 June for associates for clearing doubts in real time and discuss with SMEs.

• Helped to achieve Nike LC adjusted APL of 98.79% favorable to the target of 98.6%.

➢ PICK FROM POD

•The PFP Team is set up to build a first concept of picking and develop item ID technology in the Pick from Fabric Pod process path inside AR FCs.

•Performed segmentation and item identification annotations on RGB images taken from Bins for PFP Team, which will be used to train ML models, test algorithms, and goal metrics. This is to be done with an SPL of less than 15 seconds.

• Analyzing and monitoring market trends, providing valuable insights to executive leadership and improving the company's competitive position
• Managing and maintaining financial databases and systems, ensuring accurate and timely financial reporting to stakeholders and regulatory authorities
• Dealing with the reconciliation process regarding the accounts kept by investment managers and custodians in the financial market for supporting the investors to make the process transparent and reliable.