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Afsal E

Afsal E

JUNIOR DATA SCIENTIST | MACHINE LEARNING | PYTHON | AI DATA ANNOTATION

Talent
MalappuramMember since October 19, 2026
PythonTensorFlowKerasData PreprocessingEDAClassificationCNNPower BINLPNERSentiment AnalysisIntent ClassificationHugging FaceSemantic TaggingQA/QC
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PythonTensorFlowKerasData PreprocessingEDA

About

Data Science and AI professional with hands-on experience in Python, data analysis, machine learning projects, NLP, and AI data annotation. Skilled in data preprocessing, exploratory data analysis, model development, evaluation, and visualization, alongside multilingual and multimodal dataset annotation and QA/QC. Experienced with text, image, audio, and video datasets and NLP tasks including NER, sentiment analysis, and intent classification.

Completed an Advanced Program in Data Science & Machine Learning with practical experience in predictive modeling and data-driven projects.

Experience

Data Annotator & Labeler (Freelance) - iMerit Technology

(2025-03)

  • Annotate multilingual text, image, audio, and video datasets for AI/ML applications, following project-specific guidelines to deliver accurate and consistent labels.
  • Perform QA/QC checks on annotated data, including healthcare and e-commerce datasets, to maintain accuracy and consistency across batches.
  • Support semantic tagging and NLP-related workflows, contributing labeled data used to train and evaluate machine learning models.
  • Validate datasets against annotation guidelines, identifying and correcting inconsistencies to improve overall dataset quality.

Data Annotator (Freelance) - Innodata - Remote

(2025-11 - 2026-01)

  • Annotated multimodal datasets for AI/ML model training, applying task-specific guidelines to produce accurate and consistent labels.
  • Conducted quality checks and QA validation on large-scale datasets to maintain high data quality standards.
  • Supported NLP tasks, including sentiment analysis and Named Entity Recognition (NER), labeling text so models can learn sentiment and entity patterns.

AI Contributor (Freelance) - eDataBae - Remote

(2024-09 - 2025-03)

  • Created multilingual prompts for Large Language Model (LLM) training, writing varied prompts across languages to broaden model coverage.
  • Labeled NLP datasets for sentiment and intent classification, ensuring labels followed project definitions and stayed consistent.
  • Performed quality checks on AI training data workflows, reviewing outputs for accuracy and consistency.

Arabic Language Specialist - DNIC - Palakkad, Kerala

(2023-05 - 2024-09)

  • Supported translation and localization workflows, adapting content between Arabic and other languages while preserving meaning and context.
  • Performed linguistic QA for multilingual content, reviewing text for accuracy, grammar, and consistency.

Education

Master of Arts (M.A.) - History - Maulana Azad National Urdu University (MANUU), Hyderabad (2026)

Master - Arabic Language and Human Sciences - Darul Huda Islamic University (2023)

Bachelor of Arts - English Language and Literature - University of Calicut (2022)

Skills

JUNIOR DATA SCIENTISTMACHINE LEARNINGPYTHONAI DATA ANNOTATION

Reviews

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