Experienced machine learning data associate with a strong background in backend operations, data analysis, and manual annotation. Worked at Amazon, where I contributed to various tasks such as data processing, analysis, and backend operations. Also gained experience in customer chat, message us, email and voice support as a senior associate for Amazon domestic and international customers besides that I also gained experience in Amazon seller support Email at Concentrix. Proficient in leveraging analytical abilities to support diverse operational needs and drive efficiency.
As a Crm we need to manage all our company's relationships and interactions with customers/sellers and potential customers/sellers. My goal was to improve business relationships. Because it helps companies stay connected to customers, streamline processes, and improve profitability.
ML Data Associate is responsible for providing timely and quality data annotation for a variety of workflows. The task will require the candidate to make quick decisions keeping in mind the provided guidelines. Key responsibilities will include (but not limited to) the below:
* Meets business metrics and goals, i.e., SLA, production, and quality targets
* Maintains records of day- to-day work by updating trackers or workflow tools as necessary
* Follows SOP/guidelines or manager's instructions and ensures output is quality compliant
* Contributes to project improvement and operational excellence ideas, as applicable
* Responsible for giving timely responses to stakeholders on related tasks with guidance, i.e., as per SOP and defined SLA
* Proactively raises issues /alarms that may have an impact on core deliverables or operations to manager or stakeholders
* Analyzes data and evaluate trends/ patterns and recommend generic pattern to be translated into rules
* Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products
* Troubleshooting issues related to process and conduct root cause analysis if required
Possessing excellent product knowledge to enhance customer support.
Respond promptly and professionally to incoming customer enquiries in person via by telephone, by message, by chat or by email.
Document customer interaction when necessary, compiling documents and forwarding information to the relevant team.
Establish and maintain good rapport with customers by using positive language and anticipating their needs.
Manual Annotation
Microsoft Word
Seller/Customer Support
Data Analysis
Microsoft Excel
Backend Operation
> Travelling
> Cooking
> Calligraphy
> Reading books