一阵尹

Key Skills

Software

Other

Top Subject Matter

Urban & Rural Planning

Facility Siting

Public Infrastructure

Top Data Types

Text

Computer Code Programming

Top Task Types

Classification

Freelancer Overview

AI-Powered Facility Location Scoring System – AI Data Labeling/Scoring/Classification. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, Northwest University (2026) and Bachelor of Science, Henan Polytechnic University (2024). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

AI-Powered Facility Location Scoring System – AI Data Labeling/Scoring/Classification

OtherTextClassification

Developed an AI-powered facility location scoring system using large language models for semantic analysis and prediction. Involved designing evaluation frameworks, indicator systems, and leveraging AI for data-driven scoring decisions. Oversaw AI-assisted coding for data processing and automated quantitative assessments. • Built a reusable, multi-dimensional assessment tool. • Applied AI to conduct semantic and sentiment analysis on policy and demographic inputs. • Leveraged Python programming for all aspects of data cleaning and visualization. • Focus was on public/commercial facility placement and viability prediction.

2026 - Present

Housing Price Spatial Differentiation & Influencing Factor Analysis – AI-Assisted Data Annotation/Labeling

OtherTextClassification

Labeled multi-source datasets and developed a multi-factor pricing model with AI-assisted coding and feature engineering. Utilized machine learning techniques to annotate and structure urban housing data for modeling and interpretation. Employed Python and AI tools for data integration, transformation, and model optimization. • Integrated diverse residential data types and engineered features for downstream use. • Conducted AI-supported model selection and spatial analysis for real estate pricing. • Ensured high-quality data and annotation through scripting and automation. • Utilized spatial autocorrelation for geographic data structure annotation.

2023 - 2024

Education

Work History