Mahendra Singh

BCA graduate with 2 data analyst internships and experience in AI data annotation. Built 8+ Power BI dashboards and automated reporting workflows, reducing manual effort by 35%. Analyzed 20,000+ records using Python and SQL, and contributed to training AI models through data labeling, validation, and quality assurance. Skilled in handling messy real-world data and turning it into actionable insights. Ready to contribute from day one.

Data Annotation at AIDataAnnotator (2026-03 – Present)

• Annotated and labeled large-scale datasets (text, images) to support training of machine learning and AI models
• Conducted data validation and quality assurance to ensure high annotation accuracy and consistency
• Applied guidelines to classify, tag, and structure unstructured data for model optimization
• Improved model performance by identifying edge cases and ambiguous data scenarios
• Maintained high annotation accuracy while meeting tight deadlines in a high-volume data environment

Data Analyst Intern at College Dunia (2026-01 – 2026-04)

• Developed automated report generation using Python scripts and Excel, decreasing manual work by 35%
• Analyzed student and course-related datasets (20,000+ records) using Python (Pandas, NumPy) and SQL to identify trends in user engagement and admission patterns
• Built interactive dashboards in Power BI to track KPIs like conversion rate, traffic sources, and lead funnel performance
• Handled data cleaning, transformation, and EDA, improving data accuracy by 25%+ and enabling reliable reporting
• Generated actionable insights (e.g., high-performing courses, peak application periods), supporting marketing and content strategies

Data Analyst Intern at Technovacore Pvt Ltd (2025-05 – 2025-07)

• Built 3+ Power BI dashboards to track business KPIs, decreasing manual reporting time by 35%
• Developed Python & SQL workflows to streamline data analysis, improving efficiency by 25%
• Delivered end-to-end data pipelines for 2+ business units, accelerating data availability and reducing reporting lag
• Implemented AWS/Azure workflows, enabling faster deployment cycles by 20%
• Cleaned and preprocessed raw business datasets, reducing data inconsistencies and improving overall data quality for downstream analysis

Bachelor of Computer Applications in Computer Applications – ITM University, Gwalior (2023 – 2026)