Yubei H.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Longitudinal social science research (financial decision-making

surveys and behavioral tracking)

Social science quantitative research analytics automation

Top Data Types

Document

Text

Top Task Types

Data Collection

Prompt + Response Writing (SFT)

Function Calling

Freelancer Overview

Tel Aviv University | Quantitative Research Project Lead | Oct 2025 - Aug 2026. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Internal, and Proprietary Tooling. Education includes Master of Science, Tel Aviv University (2026) and Bachelor of Arts, China University of Mining and Technology (2021). AI-training focus includes data types such as Computer Code, Programming, and Document and labeling workflows including Data Collection, Prompt + Response Writing (SFT), and Function Calling.

Labeling Experience

Freelance | Data & AI Consultant | Jun 2025 - Present

OtherDocumentFunction Calling

Delivered document intelligence workflows as part of data and AI consulting for SMEs, including building automated pipelines for processing business documents. Implemented invoice and purchase order processing that uses OCR and LLM API integration to extract and structure information for downstream use. Focused on automating repetitive document ingestion and conversion into structured outputs to reduce manual finance workload. • Built OCR/document-intelligence pipeline for invoices and purchase orders • Integrated LLM API usage to support document understanding and structured extraction • Produced structured data outputs from unstructured documents • Reduced manual data entry workload by automating document processing across 100+ retail locations

2025 - Present

Independent Project | Academic Data Analysis Automation Tool | 2025 - Present

Prompt + Response Writing (SFT)

Built an AI-powered academic data analysis automation tool that accepts a research question and dataset, selects statistical methods, executes analysis, and outputs structured result tables. Implemented common quantitative methods such as descriptive statistics, correlation, regression, t-tests, and ANOVA to support researchers’ end-to-end analysis workflows. Designed outputs for academic communication, including significance notation, table formatting, and plain-language interpretation for non-technical users. • Automated statistical method selection and execution for common social science analyses • Generated structured tables with significance notation for scholarly reporting • Added plain-language interpretation to make results accessible to non-technical researchers • Used Python-based data processing and statistical libraries to produce reproducible outputs

2025 - Present

Tel Aviv University | Quantitative Research Project Lead | Oct 2025 - Aug 2026

Don't discloseData Collection

Led a 10-month longitudinal quantitative research project requiring repeated behavioral tracking and structured survey collection across 150+ interns. Designed the study workflow to collect monthly financial decision behaviors using both survey inputs and repeated behavioral records, focusing on longitudinal data completeness. Translated quantitative analysis outputs into clear, differentiated strategy recommendations for different participant goal groups. • Created monthly data collection structure covering spending, saving, investment, remittance, budgeting, and income allocation • Designed an in-app financial decision tracking module to reduce participant burden • Built participant segmentation using family assets, land ownership, migration intentions, entrepreneurship plans, and self-efficacy • Performed descriptive and regression-based analysis to model changes over time across segments

2025 - 2026

Education

Work History