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Personal home · Practice archive

Record the work.
Keep the thought.

Questions, methods, results, and lessons from each project—kept clear and reviewable.

About

Identity & Direction

Model the problem. Build the solution. Test the result.

Profile

Learning through practice

I study statistics, computer science, and mathematical modeling through coursework and competitions.

Focus

Models, data, and systems

Optimization, machine learning, signal processing, distributed analytics, and software.

Path

How the skills connect

Courses build foundations, projects train methods, and competitions test integration.

Foundation

Statistics and programming

Multivariate analysis, Python, and object-oriented Java.

Practice

Data engineering and ML

Hadoop/Hive pipelines and model comparisons.

Integration

Mathematical modeling

Audio, engineering, routing, and cooperative optimization.

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408 · Exam review

Computer science foundations

408 review · Chinese

211 concept notes across the four exam subjects, with explanations and recent exam references. Calculation practice has a separate page.