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Data Analyst with 1+ years in data analysis, reporting & AI/ML.
Detail-oriented Data Labeling and Annotation professional with experience in creating high-quality training datasets for AI and Machine Learning applications. Skilled in image annotation, data labeling, quality control, data validation, and guideline adherence. Skilled in data analysis, reporting, Microsoft Excel, Google Sheets, and interpreting large datasets. Strong analytical and problem-solving abilities with a keen eye for detail and data accuracy. Seeking an opportunity as a Data Analyst to leverage data-driven insights for business growth and decision-making.
Sree Chaitanya PG College, Karimnagar (JNTU University)
MBA · Marketing
N/A – June 30, 2022
Sree Chaitanya Degree College, Karimnagar (Satavahana University)
B.Com · Computer Applications
N/A – June 30, 2020
Parallel Dots
Data Tagging Executive
July 1, 2025 – Present
Gurgaon, Haryana, India
Cultural Fit Analysis
The candidate's experience is primarily in data tagging and annotation, which aligns with the data preparation phase of data analysis. Their stated interest in AI, Machine Learning, and Data Quality Operations, along with comfort in large datasets, indicates a potential fit for data-centric roles. However, the current experience is more operational than analytical, suggesting a need for development in advanced data analysis techniques for a Data Analyst role. The project diversity is limited to data annotation.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, a commitment to quality, and the ability to work within project deadlines, which are valuable operational traits. Their experience in collaborating with internal teams suggests good teamwork potential. The psychometric test score is 0, which means there is no data to evaluate logical reasoning, work attitude, stress handling, or team collaboration.