Ankita K.

Key Skills

Software

Don't disclose

Top Subject Matter

Financial services data quality

information classification

and content evaluation

Top Data Types

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Classification

Freelancer Overview

Data Quality, Classification & Analytics Professional (MSCI | Citi | Deloitte). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose, ChatGPT, and Claude. Education includes Master of Business Administration, N/A and Bachelor of Commerce, N/A. AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Data Quality and Analytics Professional - Deloitte

TextClassification

You contributed to data quality and classification efforts by analyzing complex information and ensuring it met established quality standards. You conducted research and fact-verification using multiple sources to validate information and improve reliability. You collaborated with teams to strengthen classification accuracy while maintaining repeatable review workflows and strong attention to detail. • Assessed information against defined guidelines for consistency and completeness • Performed fact-checking and comparative analysis using multiple information sources • Documented process compliance and quality assurance findings • Applied attention to detail to handle complex data and repetitive review tasks.

2023 - Present

AI & Content Evaluation (ChatGPT/Claude/Gemini/Perplexity-assisted evaluation for AI training support)

TextPrompt + Response Writing (SFT)

Used multiple AI assistants (ChatGPT, Claude, Gemini, and Perplexity) to evaluate content quality and compare model outputs for relevance and factual correctness. Assessed AI-generated responses using predefined quality criteria to identify strengths, weaknesses, inconsistencies, and factual gaps. Provided structured, guideline-based feedback intended to support AI training, prompt assessment, and content review workflows. • Compared outputs across models to detect inconsistencies and factual gaps • Verified facts and assessed response relevance to the given instructions • Evaluated text for accuracy, completeness, and clarity • Performed structured review of text-based information against quality rubrics

Present

Data Quality and Classification Analyst - MSCI

DocumentClassification

You reviewed, validated, and analyzed large volumes of structured data to ensure accuracy, consistency, and compliance with defined quality standards. You applied data governance and classification frameworks to maintain data integrity and support reliable decision-making. You supported AI/ML classification initiatives by performing data quality checks, information categorization, and evaluation of enterprise datasets. • Reviewed and validated structured datasets for quality, consistency, completeness, and accuracy • Applied data governance and classification frameworks to maintain data integrity • Conducted research, investigation, and fact-verification using multiple information sources • Collaborated with analytics, engineering, and data teams to improve classification accuracy and document controls.

2020 - 2020

Data Quality, Classification & Analytics Professional (MSCI | Citi | Deloitte)

Don't discloseText

Reviewed and validated large volumes of enterprise text data to ensure accuracy, consistency, and compliance with defined quality standards. Applied structured evaluation methodologies to identify inconsistencies, exceptions, and quality issues across datasets. Supported AI/ML classification initiatives by categorizing and evaluating information against governance and classification frameworks. • Evaluated clarity, completeness, relevance, and adherence to instructions • Performed research and fact-verification using multiple sources • Documented process controls and maintained quality assurance records • Collaborated with analytics, engineering, and data teams to improve classification accuracy

Not specified

Education

Work History