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J

Jyoti Kumra

AI Data Labeling & LLM Evaluation Specialist

USA flagPlano, Usa
$25.00/hrIntermediate

Key Skills

Software

No software listed

Top Subject Matter

Healthtech Domain Expertise
Fintech Domain Expertise
Sports Betting

Top Data Types

TextText
DocumentDocument

Top Task Types

Classification

Freelancer Overview

I have 15+ years of experience working with data, validating complex business logic, and improving output quality across healthcare, finance, gaming, and enterprise data platforms. A big part of my work has involved data analysis, most recently supporting large-scale data migration initiatives, where I worked on identifying inconsistencies, validating outputs, and improving data reliability. I genuinely enjoy working with data, spotting patterns, and bringing structure to messy information, which makes AI training and data labeling a natural fit for me. More recently, I completed an Advanced AI & Applied Data Science certification from IIT Roorkee and have been using ChatGPT, Claude, and Gemini in workflow automation use cases, where I iteratively refined prompts to improve outcomes. This hands-on work with prompt tuning, data analysis, output validation, and model behavior has strengthened my ability to evaluate AI responses with both data accuracy and business workflow context in mind.

IntermediateEnglishHindi

Labeling Experience

AI-powered output validation for reporting migration

TextClassification
During a large-scale healthcare reporting migration from SSRS to Tableau, I led an AI-assisted validation workflow focused on comparing legacy and modernized text and tabular outputs. My work involved classifying mismatch types, validating field-level consistency, identifying discrepancies, and improving output comparison accuracy by 50%. This project required structured text comparison, discrepancy tagging, risk-aware quality checks, and domain-aware validation across highly regulated reporting workflows.

During a large-scale healthcare reporting migration from SSRS to Tableau, I led an AI-assisted validation workflow focused on comparing legacy and modernized text and tabular outputs. My work involved classifying mismatch types, validating field-level consistency, identifying discrepancies, and improving output comparison accuracy by 50%. This project required structured text comparison, discrepancy tagging, risk-aware quality checks, and domain-aware validation across highly regulated reporting workflows.

2025 - 2026

ML Model Evaluation and Classification Project (IIT Roorkee)

TextClassification
Built and evaluated a machine learning classification model for medication adherence prediction as part of my IIT Roorkee Applied Data Science & AI certification. The project involved data cleaning, feature engineering, classification analysis, threshold tuning, and validating prediction accuracy using precision, recall, F1, and AUC. A key part of the work included identifying class imbalance, improving minority-class outcomes, and validating model outputs for healthcare business relevance and consistency.

Built and evaluated a machine learning classification model for medication adherence prediction as part of my IIT Roorkee Applied Data Science & AI certification. The project involved data cleaning, feature engineering, classification analysis, threshold tuning, and validating prediction accuracy using precision, recall, F1, and AUC. A key part of the work included identifying class imbalance, improving minority-class outcomes, and validating model outputs for healthcare business relevance and consistency.

2024 - 2025

Education

I

IIT Roorkee

Advanced Certification, Data Science and Artificial Intelligence

Advanced Certification
2023 - 2023

Work History

N

N/A

Business Analyst and Solutions Consultant

Plano
2008 - Present