Rachel D.

Key Skills

Software

Other

Top Subject Matter

General Text

Top Data Types

Text

Document

Top Task Types

Classification

Prompt + Response Writing (SFT)

Freelancer Overview

Data Annotation Worker. Core strengths include N and A. Education includes Master of Science, Cornell University (2019). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Deterministic Data Science Challenge Suite project (portfolio).

Other

Developed a deterministic Python-based challenge suite intended for a technical assessment platform, including 10+ problems covering EDA, feature engineering, and predictive modeling. Ensured reproducible answers to support consistent evaluation of model- and reasoning-based submissions. • Authored multiple coding problems with verified, reproducible solutions. • Covered end-to-end workflow topics relevant to ML training/evaluation. • Created deterministic computational tasks to prevent manual-only solving. • Provided structured assessment content for technical training and benchmarking.

Not specified

GenAI + RAG automation for unstructured financial reports (Senior Data Scientist, Tech high company).

DocumentPrompt + Response Writing (SFT)

Built and integrated RAG workflows to automate extraction of insights from unstructured financial reports, reducing manual processing time by 40%. Focused on preparing and leveraging retrieved document context to support downstream generation and analytic tasks. • Applied retrieval-augmented generation to financial document insight extraction. • Reduced human labeling/processing workload through automation. • Used reproducible, deterministic processing practices in the pipeline. • Mentored teams on scalable deployment practices for AI-enabled workflows.

Not specified

Education

Work History