Uzair K.

Key Skills

Software

No software listed

Top Subject Matter

Fund document classification and document quality compliance

Investment/fund data preparation for reporting

Document collection coverage tracking and SLA-based labeling readiness

Top Data Types

Document

Text

Top Task Types

Classification

Data Collection

Entity (NER) Classification

Tracking

Freelancer Overview

Associate Machine Learning Data Researcher (document classification and NLP model application). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Commerce, Mumbai University (2020). AI-training focus includes data types such as Document and Text and labeling workflows including Classification, Data Collection, and Entity (NER) Classification.

Labeling Experience

Associate Machine Learning Data Researcher (document classification and NLP model application)

DocumentClassification

Developed and deployed a machine learning model to classify fund documents across multiple document types and languages, supporting structured labeling-like categorization at scale. Conducted KPI audits and applied compliance checks to ensure high accuracy and quality benchmarks for document classification outputs. Completed AIML training to apply modern NLP model approaches such as BERT and DistilBERT for predictive tasks relevant to labeled text/docular content. • Trained/used models for categorization across 32 document types and 35 languages • Validated classification quality with KPI audits at 98% accuracy • Ensured compliance with quality benchmarks through review processes • Applied NLP architectures (BERT, DistilBERT, neural networks) with >85% predictive accuracy

2024 - Present

Senior Data Research Analyst - Morningstar

TextClassificationTracking

Designed SQL-based tracking systems and automation processes to support document collection, coverage rules, and SLA logic. Developed and deployed machine learning models to classify fund documents across multiple document types and languages while maintaining compliance and KPI accuracy. Applied advanced SQL and ML/NLP knowledge to optimize data retrieval, improve process performance, and ensure quality benchmarks. • Built a SQL coverage tracker integrating multi-country lag rules and SLA logic across document types. • Optimized 10+ advanced SQL scripts to improve data retrieval speed significantly. • Led LEAN process improvement and automation initiatives, delivering large time savings. • Created and deployed a document classification ML model and conducted KPI audits for accuracy and compliance.

2024 - 2025

Senior Data Research Analyst (collection coverage tracking supporting structured document labeling)

DocumentEntity (NER) Classification

Designed a SQL-based coverage tracker to support structured collection and labeling readiness for document collection teams using multi-country lag rules and SLA logic. Built and optimized advanced SQL scripts to improve retrieval speed for document-related workflows, enabling more efficient downstream data handling. Led process improvement and automation initiatives to achieve substantial time savings in targeted document collection and coverage operations. • Implemented coverage tracking logic across document types • Optimized 10+ SQL scripts to improve data retrieval speed by 90% • Automated LEAN improvements achieving 95% time savings • Supported compliance-oriented document collection processes

2024 - 2025

Data Research Analyst (structured data preparation and quality maintenance)

DocumentData Collection

Performed data research and management tasks involving extraction, transformation, and reporting for investment/fund datasets used for analytical and compliance purposes. Collaborated with technical teams to resolve critical data issues, improving data accuracy and processing efficiency for downstream reporting. Used SQL, Python, and Excel to support consistent data handling aligned with global reporting standards, functioning as part of the preparation pipeline for labeled/structured datasets. • Managed investment data for 100+ EMEA funds with 98% accuracy • Resolved data issues through cross-team collaboration • Conducted SQL/Python/Excel extraction and transformation for reporting • Met productivity targets while maintaining accuracy standards

2022 - 2024

Education

Work History