Morse Z.

Key Skills

Software

Label Studio

Top Subject Matter

Senior Data Analyst and AI Optimization Specialist — Energy Forecasting and Business Intelligence

E-commerce — Marketing Content Generation and Large Model Applications

Document Development — Code Generation Evaluation and Python Programming

Top Data Types

Text

Document

Computer Code Programming

Top Task Types

Prompt + Response Writing (SFT)

Function Calling

Text Generation

Evaluation/Rating

Classification

Question Answering

Freelancer Overview

Possess solid data preprocessing and 'automatic labeling' capabilities. When handling complex data such as electricity forecasting, I am skilled at transforming scattered and messy raw information into high-quality features that AI can directly learn from, and can use algorithms to enable data to 'find patterns on its own,' effectively solving the problems of low efficiency and high cost associated with traditional manual labeling. Have rich experience in large model 'fine-tuning' and instruction development. By independently developing AI assistants, I am proficient in designing precise prompts to regulate AI output logic, making it more aligned with practical business needs. I can quickly select and organize the most suitable example data for AI learning across different task scenarios, achieving continuous optimization of model performance. Although I have not engaged in basic manual labeling tasks, I possess deep experience in data governance and 'self-labeling' within AI research and application development. I have used contrastive learning techniques to achieve self-supervised feature extraction from massive electricity time series data and independently built a high-quality prompt dataset for e-commerce large model training. Compared to traditional manual labeling, I am more adept at using algorithms and engineering methods to achieve automated cleaning and precise alignment of large-scale data.

Education

Work History