Jetti Dinesh

Ml Data Associate leveraging data analysis and programming skills

Role: Ml Data Associate at Amazon
Location: Hyderabad, TG, IN
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

About Jetti Dinesh

As an ML Data Associate at Amazon, I contribute to data-driven initiatives by leveraging my technical background in mechanical engineering and expertise in statistical data analysis. My role enables me to engage with complex datasets, applying skills in TestNG and software infrastructure to support business processes effectively. I hold a Bachelor of Technology in Mechanical Engineering from Vignana Bharathi Institute of Technology and have acquired certifications in Python for Data Science, Java Full Stack, and Data Analytics. Motivated to uncover actionable insights, I am passionate about using data to enable informed decision-making and drive innovation.

Experience

Ml Data Associate
Amazon
Apr 2025 — Present · Hyderabad, IN

Education

Vignana Bharathi Institute of Technology
Bachelor of Technology - BTech

Contact information

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Current company

Amazon

Software Development · 10K employees · 2127 7th Ave., Seattle, WA, 98109, US

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

amazon.com

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