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Itzme Sharib

Data Analytics Simulation (Data Labeling and Annotation)

India flagUttar Pradesh, India
$50.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

Business Domain Expertise
Data Analytics
Multilingual NLP

Top Data Types

TextText

Top Task Types

Entity Ner Classification
RLHF
Classification

Freelancer Overview

Data Analytics Simulation (Data Labeling and Annotation). Core strengths include Other. Education includes Bachelor of Arts with Honours, Jawaharlal Nehru University (2021) and Intermediate, Uttar Pradesh Education Board (2020). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification, RLHF, and Classification.

IntermediateEnglishArabicSpanishUrduHindiIndonesian

Labeling Experience

Bachelor of Arts (Hons) – Arabic Language & Literature (Arabic NLP Annotation)

OtherTextEntity Ner Classification
During my Bachelor of Arts in Arabic Language & Literature at Jawaharlal Nehru University, I gained deep expertise in linguistics, morphology, and grammar essential for Arabic NLP annotation. My training involved specialized data labeling relevant to cross-cultural and multilingual language processing. The program provided domain knowledge directly supporting Arabic and multilingual annotation tasks in NLP. • Developed proficiency in annotation for high-demand, low-resource languages. • Consolidated skills in NER and morphological labeling schemes. • Applied cultural and linguistic context to interpretation tasks. • Enhanced cross-linguistic annotation capabilities in academic evaluation settings.

During my Bachelor of Arts in Arabic Language & Literature at Jawaharlal Nehru University, I gained deep expertise in linguistics, morphology, and grammar essential for Arabic NLP annotation. My training involved specialized data labeling relevant to cross-cultural and multilingual language processing. The program provided domain knowledge directly supporting Arabic and multilingual annotation tasks in NLP. • Developed proficiency in annotation for high-demand, low-resource languages. • Consolidated skills in NER and morphological labeling schemes. • Applied cultural and linguistic context to interpretation tasks. • Enhanced cross-linguistic annotation capabilities in academic evaluation settings.

2021 - Present

CRM – Domestic Voice Process (Data Labeling and Tagging)

OtherTextClassification
In the CRM – Domestic Voice Process training and certification, I managed, categorized, and tagged structured customer interaction text data. My work emphasized maintaining high accuracy, data consistency, and applying defined labeling schemes in CRM workflows. I performed classification and structured documentation within customer relationship management datasets. • Processed large volumes of entries with data integrity. • Applied tagging and categorization techniques to customer texts. • Ensured high consistency and quality control. • Developed documentation standards for structured data labeling.

In the CRM – Domestic Voice Process training and certification, I managed, categorized, and tagged structured customer interaction text data. My work emphasized maintaining high accuracy, data consistency, and applying defined labeling schemes in CRM workflows. I performed classification and structured documentation within customer relationship management datasets. • Processed large volumes of entries with data integrity. • Applied tagging and categorization techniques to customer texts. • Ensured high consistency and quality control. • Developed documentation standards for structured data labeling.

2024 - 2024

Generative AI Mastermind Program (AI Content Evaluation and RLHF)

OtherTextRLHF
During the Generative AI Mastermind Program, I specialized in evaluating AI-generated outputs for alignment, accuracy, and content quality. I developed expertise in reinforcement learning from human feedback (RLHF) workflows, contributing directly to AI training data pipelines. My role focused on model evaluation and human-in-the-loop feedback for generative AI system optimization. • Evaluated and rated AI-generated text data for quality. • Participated in prompt engineering and content alignment tasks. • Gained hands-on experience with generative model workflows. • Maintained detailed records of evaluations and feedback loops.

During the Generative AI Mastermind Program, I specialized in evaluating AI-generated outputs for alignment, accuracy, and content quality. I developed expertise in reinforcement learning from human feedback (RLHF) workflows, contributing directly to AI training data pipelines. My role focused on model evaluation and human-in-the-loop feedback for generative AI system optimization. • Evaluated and rated AI-generated text data for quality. • Participated in prompt engineering and content alignment tasks. • Gained hands-on experience with generative model workflows. • Maintained detailed records of evaluations and feedback loops.

2024 - 2024

Data Analytics Simulation (Data Labeling and Annotation)

OtherTextEntity Ner Classification
As part of the Data Analytics Simulation at Deloitte Australia, I conducted text annotation and data labeling on real-world business datasets. My work involved high attention to detail for identifying patterns, classifying intents, and ensuring consistent data labeling practices. I demonstrated expertise in sentiment analysis and named entity recognition using professional data analytics principles. • Executed multilingual annotation, focusing on accuracy and cultural nuance. • Performed quality assurance and consistent checks on labeled datasets. • Used advanced analytical thinking for correct data interpretation. • Focused on project quality and reporting standards.

As part of the Data Analytics Simulation at Deloitte Australia, I conducted text annotation and data labeling on real-world business datasets. My work involved high attention to detail for identifying patterns, classifying intents, and ensuring consistent data labeling practices. I demonstrated expertise in sentiment analysis and named entity recognition using professional data analytics principles. • Executed multilingual annotation, focusing on accuracy and cultural nuance. • Performed quality assurance and consistent checks on labeled datasets. • Used advanced analytical thinking for correct data interpretation. • Focused on project quality and reporting standards.

2024 - 2024

Education

U

Uttar Pradesh Education Board

Intermediate, General Studies

Intermediate
2020 - 2020
U

Uttar Pradesh Education Board

High School, General Studies

High School
2018 - 2018

Work History

N

N/a

N/A

New Delhi
2026 - Present