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Data Analyst with 6+ years in AI Data Labeling & Project Management
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Data Annotator and Project Executive with over 6 years in AI data labeling, image/video segmentation, and quality control. Skilled in 2D/3D annotation, LiDAR, and computer vision, with hands-on experience managing remote projects and teams. Strong background in project management, client communication, and data validation, committed to delivering high-quality, accurate results while adapting to evolving AI guidelines.
University of Calicut
Bachelor of Commerce in Finance · Finance
July 1, 2016 – March 30, 2019
KTM Higher Secondary School
Plus Two in commerce · Commerce
July 3, 2014 – March 31, 2016
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Lectura Edutech
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SSI GROUP of Institutions
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Cultural Fit Analysis
The candidate's experience is primarily in data annotation and validation, with a strong focus on quality control and project management within AI/ML contexts. While the target role is 'Data Analyst', the candidate's background is more aligned with data operations, data quality, and AI data pipeline management rather than traditional data analysis involving statistical modeling, advanced SQL, or business intelligence. The project diversity is limited to data annotation tasks. The breadth of skills is good within the annotation domain but lacks depth in core data analysis tools and methodologies (e.g., advanced SQL, Python for data analysis, BI tools like Tableau/Power BI). This suggests a potential gap in direct cultural fit for a pure Data Analyst role, but a strong fit for roles focused on data quality, data engineering support, or AI data operations.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills, including leadership, communication, strategic planning, analytical evaluation, task coordination, time management, and documentation. These skills are highly relevant for a senior data role, indicating an ability to manage complex projects and collaborate effectively in a team environment. The remote work experience also suggests adaptability and self-discipline.