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Data Analyst with 2+ years in AI/ML data labeling & quality assurance
Detail-oriented Data Annotation Analyst with hands-on experience in AI/ML data labeling, video annotation, and quality assurance for autonomous vehicle and sports analytics datasets. Skilled in LiDAR and image annotation, object detection, facial landmark labeling, homography annotation, and frame-level event tagging using industry-standard annotation tools. Experienced in annotating and reviewing NFL gameplay footage, ensuring accurate event detection and field mapping to support AI model training. Strong focus on data accuracy, consistency, and quality control, with proven ability to identify annotation issues and improve labeling standards. Adaptable professional with experience collaborating across teams, following evolving project guidelines, and meeting productivity targets in fast-paced environments. Additional exposure to operational coordination, customer interaction, and administrative support, demonstrating strong communication and organizational skills. Proficient in maintaining high-quality annotated datasets through detailed validation, error analysis, and adherence to strict project requirements and timelines. Quick learner with strong analytical and problem-solving abilities, capable of adapting to new tools, workflows, and AI data annotation projects efficiently.
DVR & DR.HS Mic college of Technology
B.Tech
August 1, 2018 – June 30, 2021
Govt. Polytechnic Gannavaram
Diploma
August 1, 2014 – June 30, 2017
GSRMC High school
SSC
June 1, 2013 – May 31, 2014
Advanced Embedded Systems
Vector India Pvt. Ltd.
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different companies and projects (autonomous vehicles, sports analytics) suggests adaptability. Their collaborative teamwork and communication skills, as highlighted in the professional summary, indicate a potential for good cultural integration. However, the lack of diverse project types beyond data annotation and a brief administrative role might limit their breadth of experience for broader cultural contributions.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, problem-solving abilities, and a collaborative mindset, which are crucial for data annotation roles. Their experience in quality assurance and adherence to project guidelines indicates a good operational fit. However, the resume also shows a period in an administrative role, which is less relevant to the target role.