Open to opportunities

changyi song

@changyisong

Message

Data analyst specializing in machine learning and product-focused game analytics.

China

Message

What I'm looking for

I seek data roles that combine machine learning and product analytics, with opportunities to impact product metrics, collaborate cross-functionally, and grow technical and domain expertise.

I am a data analyst with hands-on experience in machine learning, statistical analysis, and product analytics, currently completing a BSc in Statistics at the University of Toronto.

In product roles, I have contributed to full-version development and numerical design for a live game, managing item/skill/drop tables, version control with SVN, and daily data-driven QA that reduced errors by 60%.

As a data analyst intern, I designed analysis models, led database development for business domains, and implemented coupon optimization strategies that boosted coupon write-off rates by 40% and weekly orders by over 30%.

I apply tools including Python (Pandas), R, SQL and machine learning frameworks (XGBoost, TensorFlow) to build models, perform causal inference, and communicate actionable insights via visualization and dashboards.

Experience

Work history, roles, and key accomplishments

Current

Game Systems & Balance Design Intern

Current

Sdo Games

Apr 2025 - Present (6 months)

Participated in full development of Legend of Immortal Green Version, designed Gacha system attributes and skill effects, maintained item/skill/drop tables, and reduced configuration errors by 60% through coordinated QA and dashboard tracking.

Game Design SVN Visual Studio Data Analysis Dashboarding

Data Analyst Intern

Blibee Trading Co. Ltd

Aug 2021 - Dec 2021 (4 months)

Conducted business and user-quality analyses, developed domain databases, and delivered actionable reports; implemented coupon optimization that increased write-off rate by 40% and weekly order volume by over 30%.

SQL Excel)Data Analysis Data Modeling Reporting Data Governance Excel

Research Project - ML Analyst

University of Toronto

Jan 2025 - Present (9 months)

Applied XGBoost and causal inference to analyze hypertension risk factors, validated models, and visualized findings with R and Excel to produce actionable intervention recommendations.

XGBoost Causal Inference Model Evaluation Data Visualization Excel)Statistical Analysis Machine Learning Excel

Education

Degrees, certifications, and relevant coursework

University of Toronto

Bachelor of Science, Statistics

2020 -

Pursuing a Bachelor of Science in Statistics with coursework in Statistics in Machine Learning, Multivariate Data Analysis, Data Collection, and Causal Inference.