Arun SrinivasanAS
Open to opportunities

Arun Srinivasan

@arunsrinivasan

Data-driven professional specializing in Amazon operations and process optimization.

India
Message

What I'm looking for

I am looking for opportunities that foster growth, collaboration, and innovation in data analytics.

I am a data-driven professional with extensive experience in Amazon operations, focusing on real-time analysis and process optimization. My journey has been marked by a commitment to enhancing customer experiences through data-driven solutions and effective cross-functional collaboration. I have a proven track record of resolving hardware and software issues while maintaining high levels of customer satisfaction.

In my current role as a Machine Learning Data Associate II at Amazon Development India, I analyze large datasets using advanced SQL queries to improve the customer shopping experience. I have developed and optimized ETL pipelines using Amazon S3 and QuickSight, creating interactive dashboards that provide insights into product recommendations and search relevancy metrics. My collaborative approach has allowed me to work effectively with cross-functional teams to resolve data discrepancies and ensure data accuracy, ultimately leading to improved customer satisfaction scores.

Previously, as a Retail Process Associate at Amazon, I managed data and pricing operations, consistently meeting production goals while using SQL to analyze pricing discrepancies. My ability to collaborate with various teams has been instrumental in resolving pricing issues and enhancing customer trust. I am passionate about leveraging data to drive business improvements and am eager to contribute my skills to a forward-thinking organization.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Tamil Nadu Open University (TNOU) logoT(

Tamil Nadu Open University (TNOU)

B.COM, Commerce

Grade: 6.3 CGPA

Studied Commerce at TNOU, Chennai, focusing on core business principles. Achieved a CGPA of 6.3 during the course of study.

Tech stack

Software and tools used professionally

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