Asan Venkatesh KB

• Automation: Assist the Machine Learning team in training machines to sort high volumes of products and reduce the ageing backlogs of non-compliant products in high risk categories in a wide range of product categories

• Product innovation: Assisted in implementing and adapting the Query Management System-QMS, which reduced the time to raise and resolve impediments by 18 hours on average

• Testing: After launching Automated-ML tasks, performed a manual review of the catalog to ensure that there were no errors and to make further updates to the ML tasks, as well as involved in the testing of new tools and preparation of documentation

• Stake holder management: Provided feedback and support to 4 or more managers, peers, and business partners regarding deliverables, timelines, and support requirements. As well as main subject matter expert for binary and non-binary catalog, five or more associates were expected to be handled

• Projects: Guided in the implementation of following projects:

-Machine learning image classification module implementation based on rules

-work flow creation

-Helped in the implementation of a ticket management system aimed at preventing misses on severity tickets

• Assisting Sellers of Amazon US,CA,UK marketplace in investigating their Trademark Infringement complaints
• Monitored mentee performance consistently, identifying areas of improvement and adjusting mentorship approaches accordingly
• Collaborated with fellow mentors to exchange best practices, ensuring continuous improvement of mentoring strategies
• Focusing on key inputs of the business and delivering results with the right quality
• Review and approval of category specific products based on NA & US State Laws
• Cross trained on regular basis to meet business needs

• Managing SBI Credit cards customer's account with their complaints and requests
• Maintaining good relationship with customers and promoting our product
• Handling fraudulent, theft activities and educating customers on related issues
• Effective handling of irate customers by going extra miles to solve their long term issue and receiving positive feedback from both customers and leadership team
• Discussion with Leadership and internal teams to provide best possible solution