Pankaj V.

Key Skills

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Other

Top Subject Matter

Multilingual AI data preparation (OCR, NLP, ASR, NLU) and annotator QA/QC for training datasets

Client data annotation pipeline support and structured metadata tagging for AI training data

Legal Services & Contract Review

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Freelancer Overview

AI Data Engineer & Linguistics Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Power BI and Other. Education includes Postgraduate Program in Data Science and Analytics, Imarticus Learning (2024) and Master of Arts, Sardar Patel University (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Data Engineer & BI Analyst (Linguistics Specialist) - Transsion Holdings

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Build and maintain real-time Power BI KPI dashboards to monitor dataset accuracy, annotator throughput, and SLA compliance for multilingual AI workflows. Design and deploy a multi-layer quality control framework to reduce dataset rework and accelerate downstream model training cycles. Engineer and validate datasets for OCR, NLP, ASR, and NLU pipelines by resolving linguistic edge cases and improving pipeline reliability. • Real-time KPI dashboarding with Power BI (DAX, Power Query) and performance monitoring • Quality control framework design to improve dataset reliability and reduce rework • Data engineering and quality assurance across OCR, NLP, ASR, and NLU pipelines • Leadership and performance management for a large annotator workforce while tracking SLA adherence

2025 - Present

AI Data Engineer & Linguistics Specialist

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Built real-time Power BI KPI dashboards to monitor dataset accuracy, annotator throughput, and SLA compliance for multilingual AI workflows across 3 languages. Designed and ran a multi-layer quality control framework to reduce dataset rework and improve reliability of prepared training data. Supervised and quality-assured datasets used in OCR, NLP, ASR, and NLU pipelines to resolve linguistic edge cases. • QC framework and dataset rework reduction (30%). • Monitored annotator throughput and SLA adherence (98%+). • Curated/validated multilingual linguistic edge cases for pipeline robustness. • Supported dataset readiness for model training cycles.

2025 - Present

Associate Data Analyst - GlobalLogic Technologies Pvt. Ltd.

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Support clients by accelerating structured data and annotation pipelines through improved structuring, metadata tagging, and content engineering workflows. Ensure deliverables meet client quality standards while maintaining high accuracy under strict production deadlines. Collaborate to deliver reliable outputs at scale using data processing and reporting skills. • Improve pipeline throughput by optimizing data structuring and annotation workflows • Manage structured metadata tagging and content engineering processes • Maintain 100% compliance with client quality standards across deliverables • Deliver high-accuracy outputs consistently in a high-volume environment

2024 - 2025

Associate Analyst

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Accelerated data structuring and annotation pipelines for global clients, improving pipeline throughput by 20%+ within the first month. Managed structured metadata tagging and content engineering workflows while ensuring 100% compliance with client quality standards. Delivered consistent, high-accuracy outputs under strict deadlines for production deliverables. • Improved pipeline throughput (20%+ in first month). • Maintained metadata tagging compliance across all deliverables. • Ensured high-accuracy outputs under tight turnaround times. • Supported structured annotation pipeline operations for AI-ready data.

2024 - 2025

Education

Work History