Summary
Overview
Work History
Education
Skills
projects
Timeline
Generic
Radhe Shyam Das

Radhe Shyam Das

Berlin

Summary

WFM Analyst in Amazon Business Verifications, India .

  • I owned the activity monitoring function as a function owner. Responsible for reporting and giving function performance callout's in weekly and daily business review calls.
  • Managed three functions, each having a team size of more than 100. Daily, handled two functions on average.
  • I have ample working experience in the chargeback and payment risk/fraud domains as well.
  • Ability to prioritize, multi-task, adhere to deadlines, and act with a sense of urgency and genuine passion for getting things done.
  • Good analytical and problem-solving capabilities.

Overview

6
6
years of professional experience

Work History

Workflow/Real Time Analyst

Amazon
06.2021 - 02.2022

WFM Analyst in Amazon Business Verifications.

  • Managed resources to work on queue volumes and clearing backlog in such a way that SLA remains intact.
  • Managed Leave adherence, schedule adherence, overtime, and non-productive Time of employees working in the operation domain.
  • Generated weekly business reports and GAP reports on forecasting and accordingly gave suggestions on additional headcount requirements.
  • Reporting tools and incident issues and managing them to prevent them in the future.
  • Providing various resolutions to the operations team by working on SIMs and creating an SOP around it .
  • I managed the weekly reports on Tableau and created reports through root cause analysis to understand any gaps in the end actions andSLA misses.
  • Prioritization of tickets and profile management according to the impact and volume.
  • Optimized workforce distribution by analyzing historical data and trends in real-time.

Chargeback Specialist

Amazon
08.2018 - 05.2021
  • Worldwide Ops UAT Tester, speeding up investigations and reducing reliance on external tools through the implementation of new features in the internal platform.
  • Led the FORMIDABLE initiative , achieving cost-cutting and timely customer query resolution by instructing Cloudbot/System for fast-paced investigation activities.
  • Created a new process and SOP for raising bank calls to various payment processors like Paymentech, American Express, and Bank of America Discover to resolve complex scenarios.
  • Conducted audits identifying inefficiencies, leading to enhanced procedures and SOPs, contributing to streamlined operations.
  • Conducted training and mentorship for three different batches, including newly hired managers, where each batch consists of 15 resources in North American and European marketplaces
  • Reduced instances of fraudulent transactions with thorough investigation and analysis of chargebacks.
  • Conducted in-depth analyses of transaction data to identify patterns, trends, and potential fraud indicators.

Risk Investigator

Amazon
05.2016 - 08.2018
  • Handling fraud and service-related chargeback disputes, primarily in the VISA and MasterCard domain, alongside Amex, BAMS, and Discover.
  • Part of the specialty functions core team, like the High Dollar team, the AWS (amazon web services) team, the Amazon Payments team (APA), the Faxes team, and Synchrony Financial Team (SYF), where disputes dollar amounts and seller escalations are high.
  • Minimized risk in the buyer sector by detecting and counteracting fraud patterns and trends on the platform.
  • Developed customized training programs for staff members, increasing awareness of risk management principles and practices.
  • I initiated and led the India chargeback pilot batch by creating SOPs to support bill desk, Amex, and HDFC transactions.

Education

Master of Science - Data Analytics

Berlin School of Business And Innovation
Berlin, Germany
09.2023

Bachelor of Science - Computer Science And Programming

CMR College of Engineering & Technology
Hyderabad, India
01.2016

Skills

  • Power BI
  • Tableau
  • Aspect/WFM Tools
  • Facilitation
  • python
  • Data Visualization
  • SQL
  • Data Analysis
  • Quality Assurance
  • Decision Making

projects

  • Project Shaolin partnered with LianLian Pay to set up the Chargeback process and SOP for the China marketplace to investigate and represent the disputes by providing supporting documents. Outcome: 50k USD recovered biweekly. reducing the bad debt for the team.


  • Backlog Burndown: Created streamlined plans to clear the logjam of volumes stemming from tool downtime and higher incoming with minimal influence on SLA. Monitored the queue rate tweaking and volume flush. Timely case assignments as per the headcount availability and concerns flagged on time, which reduced the SLA miss rate, and accordingly, investigators from different teams were also asked to support the queues for the time being. Outcome: Effectively met the goals and improved the customer experience.


  • Reconciliation: This was an operational plan to perform account reconciliations to match credits to deductions to enable customers to process credits for use and/or make appropriate repayments. Analyzed worldwide data to upload the missed re-presentation documents. Outcome: 500K USD recovered in approximately 2 years.
  • Seller Recovery: In this project, sellers listed on Amazon are debited, if found responsible for being held back, from backend tools like the SPLAT tool and Crowsnest. This reduces our bad debt when customers re-dispute with their card issuer and the order is fulfilled by the seller.
  • Task Creation: Creates tasks for investigators working in UK and German marketplaces in VISA and MasterCard disputes, using the internal tool Coral. Impact: Disputes get resolved timely, and customer satisfaction is maintained. Also, it helps Amazon recover the money, which, if not worked upon, will be a direct loss. Dollar Impact Monthly: 150K EUR

Timeline

Workflow/Real Time Analyst

Amazon
06.2021 - 02.2022

Chargeback Specialist

Amazon
08.2018 - 05.2021

Risk Investigator

Amazon
05.2016 - 08.2018

Master of Science - Data Analytics

Berlin School of Business And Innovation

Bachelor of Science - Computer Science And Programming

CMR College of Engineering & Technology
Radhe Shyam Das