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Avk Dub Studio

Avk Dub Studio

Data Annotation Specialist (as part of Data Science Internship)

India flagAlappuzha, India
$2.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

Data Science/Data Analysis
Government Welfare/Eligibility Modeling
Healthcare/Disease Prediction

Top Data Types

TextText
VideoVideo

Top Task Types

ClassificationClassification

Freelancer Overview

Data Annotation Specialist (as part of Data Science Internship). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Computer Applications, Kerala University (2022) and Higher Secondary Certificate, Bishop Moore Higher Secondary School (2022). AI-training focus includes data types such as Text and labeling workflows including Classification.

Entry LevelEnglish

Labeling Experience

Data Annotation Specialist (as part of Data Science Internship)

OtherTextClassification
Worked as a data annotation specialist during the Python Data Science Internship. Responsible for preprocessing and cleaning datasets, annotating features for machine learning model training, and ensuring data quality. Labeled real-world, domain-specific data to support development of AI-based applications. • Performed data annotation as part of model training and evaluation cycles • Applied data cleaning and preprocessing techniques for improved label accuracy • Assisted in feature selection and data categorization for supervised learning tasks • Used Python with Pandas and NumPy to generate and validate labels

Worked as a data annotation specialist during the Python Data Science Internship. Responsible for preprocessing and cleaning datasets, annotating features for machine learning model training, and ensuring data quality. Labeled real-world, domain-specific data to support development of AI-based applications. • Performed data annotation as part of model training and evaluation cycles • Applied data cleaning and preprocessing techniques for improved label accuracy • Assisted in feature selection and data categorization for supervised learning tasks • Used Python with Pandas and NumPy to generate and validate labels

2025 - Present

Data Annotator (AI Healthcare Web Application Project)

OtherTextClassification
Annotated and labeled text data during the creation of the AI-powered disease prediction feature in the Disease Expert project. Labeled user symptom descriptions to curate structured datasets for use in disease classification algorithms. Provided clean, annotated data to enhance model performance in the healthcare application. • Applied label categories to patient symptom text entries • Enhanced data quality through annotation, supporting accurate disease prediction • Validated and reviewed label sets as part of the model training loop • Utilized Python data libraries and internal tools for annotation tasks

Annotated and labeled text data during the creation of the AI-powered disease prediction feature in the Disease Expert project. Labeled user symptom descriptions to curate structured datasets for use in disease classification algorithms. Provided clean, annotated data to enhance model performance in the healthcare application. • Applied label categories to patient symptom text entries • Enhanced data quality through annotation, supporting accurate disease prediction • Validated and reviewed label sets as part of the model training loop • Utilized Python data libraries and internal tools for annotation tasks

Not specified

Data Labeler (ML-Driven Citizen Eligibility System Project)

OtherTextClassification
Performed data preprocessing and labeling in the ML-Driven System for Citizen Eligibility project. Labeled demographic and income records for use in a government welfare eligibility classifier. Ensured the quality and consistency of labeled data for machine learning analysis. • Developed labeling schema for citizen eligibility datasets • Applied classification labels to income and demographic attributes • Conducted iterative review and quality control of labeled samples • Used Python libraries such as Pandas to process and organize labels

Performed data preprocessing and labeling in the ML-Driven System for Citizen Eligibility project. Labeled demographic and income records for use in a government welfare eligibility classifier. Ensured the quality and consistency of labeled data for machine learning analysis. • Developed labeling schema for citizen eligibility datasets • Applied classification labels to income and demographic attributes • Conducted iterative review and quality control of labeled samples • Used Python libraries such as Pandas to process and organize labels

Not specified

Education

B

Bishop Moore Higher Secondary School

Higher Secondary Certificate, Science

Higher Secondary Certificate
2020 - 2022
B

Bishop Moore Higher Secondary School

Secondary School Certificate, General Studies

Secondary School Certificate
2020 - 2020

Work History

L

Luminar Technolab

Python Data Science Intern

Alappuzha
2025 - Present