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Pravallika Gaddam

@pravallikagaddam

Amazon-trained ML Data Operations Associate delivering 98%+ precision at scale.

India
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What I'm looking for

I’m looking for full-time or retainer remote work where I can deliver enterprise-grade data accuracy, proactive communication, and zero-handholding execution—using structured dashboards, audit trails, and clear documentation for teams with fast SLAs.

I’m an Amazon-trained operations professional who sustained a 98%+ accuracy rate across 500+ daily data reviews at one of India’s highest-throughput ML operations. I deliver enterprise-grade precision, proactive communication, and zero-handholding execution to remote teams.

In my ML Data Operations role, I raised computer-vision reliability by applying a self-developed 3-step pre-check protocol before every submission. I reduced QA re-review cycles by ~20% across a team of 20+ associates by identifying and documenting 4 recurring mis-labelling patterns and sharing a fix guide with the team lead. I also eliminated decision ambiguity by building structured audit trails on every review using internal tooling.

I delivered zero SLA breaches across the full engagement by building a personal daily workflow dashboard that flagged backlog risk 2 hours before deadline. I contributed reusable documentation templates to standardize the workflow and cut supervisor spot-check time through clearer, traceable records.

Before that, as a B.Tech Mechanical Engineering class representative and department coordinator, I managed inboxes, scheduling, and event coordination for 60+ students and 12+ faculty members. I maintained 100% on-time delivery of departmental events and academic submissions across 8 semesters using a shared calendar system and a 2-week rolling task tracker. I kept communications tight by resolving scheduling conflicts early and drafting 50+ formal announcements and meeting summaries over multiple academic years.

Experience

Work history, roles, and key accomplishments

Amazon logoAM

ML Data Operations Associate

Mar 2025 - Jun 2025 (3 months)

Sustained 98%+ accuracy across 500+ daily image/video reviews for Amazon Robotics fulfillment-center automation by applying a self-developed 3-step pre-check protocol. Reduced QA re-review cycles by ~20%, maintained zero SLA breaches, and improved auditability via structured documentation templates and a workflow dashboard that flagged backlog risk 2 hours early.

Education

Degrees, certifications, and relevant coursework

BE

B.Tech — Mechanical Engineering

Bachelor of Technology, Mechanical Engineering

2018 - 2022

Completed a B.Tech in Mechanical Engineering from 2018 to 2022 in Hyderabad, India.

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