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Data Analyst with 1+ years in Data Science & Business Intelligence
Detail-oriented Data Analyst with an M.Sc. in Data Science and hands-on experience in data analysis, data validation, reporting, and computer vision data annotation. Skilled in SQL, Python, Power BI, Excel, and data visualization with a strong understanding of Google Data Analytics principles, including data cleaning, data analysis, data visualization, and data-driven decision-making. Experienced in collecting, cleaning, validating, and interpreting large datasets, developing interactive dashboards, and generating actionable business insights. Adept at improving data quality, identifying trends, and supporting business decisions through analytical and problem-solving skills.
GITAM University, Hyderabad
M.Sc. · Data Science
August 1, 2021 – June 30, 2023
Arts & Science College, Warangal
B.Sc. · Mathematics
August 1, 2017 – June 30, 2020
Tao Digital Solutions
Trainee Data Analyst
March 1, 2026 – May 31, 2026
Hyderābād, Telangana, India
Tao Digital Solutions
Data Annotator
August 1, 2025 – January 31, 2026
Hyderābād, Telangana, India
Shore Infotech Pvt Ltd
Research Analyst
October 1, 2024 – March 31, 2025
Hyderābād, Telangana, India
Computer Vision Data Annotation & Quality Validation
June 1, 2026 – Present
Annotated and validated 10,000+ images for Computer Vision and AI model training. Performed image classification, object detection, and quality assurance tasks. Reviewed annotation quality and corrected labeling inconsistencies. Maintained 95%+ accuracy while following project guidelines and quality standards.
Student Enrollment Analysis Dashboard
June 1, 2026 – Present
Collected and analyzed student enrollment data from multiple academic years. Cleaned and validated datasets using Excel and SQL. Created interactive Power BI dashboards to visualize enrol trends and performance metrics. Generated reports that helped identify growth patterns and support planning decisions.
Cultural Fit Analysis
The candidate's project diversity, including student enrollment analysis and computer vision data annotation, shows adaptability. Their experience as a Trainee Data Analyst, Data Annotator, and Research Analyst aligns well with the target role of Data Analyst, indicating a focused career path in data. The breadth of skills across data cleaning, visualization, and basic programming (Python, SQL) suggests a foundational fit for data-centric roles.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, as evidenced by their 95%+ accuracy in data annotation and data quality improvement initiatives. Their experience in collaborating with teams to understand requirements suggests good teamwork and communication skills. The project descriptions indicate a problem-solving approach to data analysis.