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Gracia RoselinGR
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Gracia Roselin

@graciaroselin

Entry-level data professional specializing in ML data annotation, dataset labeling, and quality assurance across text, audio, and video.

Zimbabwe
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What I'm looking for

I want to contribute to Amazon’s generative AI initiatives, doing structured problem-solving and multi-tasking while owning quality assurance in ML data operations and delivering accurate, confidential labeled datasets.

I’m a motivated and adaptable data professional with a strong foundation in data annotation, AI model training support, and labeling tasks across text, audio, and video. I bring strong attention to detail, the ability to handle confidential information, and a consistent focus on delivering high-quality data.

I’ve delivered high-quality labeled datasets for AI/ML projects, ensuring compliance with confidentiality standards. I also applied business logic to resolve ambiguous scenarios and completed tasks under tight deadlines, while providing operational support and resolving peer-level queries.

Alongside ML data operations, I gained credibility in accuracy-driven work through an Intern Accountant role where I maintained financial records and performed GST-related calculations with confidentiality in mind. As Student Chairman for the Computer Department, I led coordination, organized academic events, and resolved team-level queries—strengthening my multitasking and ownership.

I’m currently pursuing a Master of Computer Applications (83%) and previously completed B. Com with relevant computer applications (84%). I built projects like an Online Shopping & Services web app (HTML, CSS, JavaScript, MySQL) and an HR and Employee Assistor MERN Stack app, and I’m eager to contribute to Amazon’s generative AI initiatives through structured problem-solving, multi-tasking, and quality assurance in ML data operations.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

BC

Bishop Appasamy College

Master of Computer Applications, Computer Applications

2023 - 2025

Grade: 83%

Completed a Master of Computer Applications program at Bishop Appasamy College, graduating with 83%.

AS

A.V.P. College of Arts and Science

Bachelor of Commerce, Computer Applications

2020 - 2023

Grade: 84%

Completed a B. Com in Computer Applications at A.V.P. College of Arts and Science, graduating with 84%.

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