Data Analytics
Data cleaning, exploratory analysis, KPI design, statistical summaries, and decision-focused reporting.
Independent Data & AI Services
Eugene Data helps organizations analyze data, build practical machine-learning workflows, automate repetitive processes, and communicate results clearly.
Services
Engagements can range from focused analysis to lightweight prototypes and workflow automation.
Data cleaning, exploratory analysis, KPI design, statistical summaries, and decision-focused reporting.
Predictive modeling, feature engineering, evaluation, model comparison, and practical ML prototypes.
Text classification, information extraction, multilingual NLP, model evaluation, and language-data workflows.
Python and spreadsheet workflows that reduce repetitive manual work and improve consistency.
Clear charts, reporting views, and analytical summaries designed for people who need to act on the results.
Structured investigation of data problems, rapid experimentation, and technical proof-of-concept work.
Approach
The goal is not to add unnecessary complexity. Each project starts with the decision or workflow that the data needs to support.
Clarify the question, scope, constraints, and expected output.
Check quality, structure, missing values, and practical limitations.
Develop the analysis or model and test whether it is actually useful.
Provide reproducible work, documented assumptions, and usable results.
About
Eugene Data is an independent data and AI practice focused on analytics, machine learning, NLP, and workflow automation.
The work emphasizes rigorous quantitative reasoning, clean implementation, transparent assumptions, and outputs that are easy to understand and maintain.
Operated by Yujie Zhou, sole proprietor.
Contact
Send a short description of the problem, the data you have, and the outcome you are trying to reach.
Brooklyn, New York