Claire Song
Data Scientist / Machine Learning Engineer
Leveraging statistical modeling, ML, and rigorous experimentation to drive growth and product decisions
WhereShenzhen, China · claire.song.data@example.com
Onlinegithub.com/clairesong-data · +86 137-5566-7788
Profile
Data Scientist with 5+ years of experience applying statistical modeling and machine learning to solve critical business problems. Expert in Python, SQL, predictive modeling (XGBoost/LightGBM), user lifetime value prediction, and causal inference.
Career Timeline
Senior Data Scientist · Team LeadDataInsight AI Global2022.04 - 至今 · Shenzhen
- Engineered customer churn prediction model (LightGBM + feature engineering) with 0.892 AUC, lifting retention by 22% and recovering $500k+ annually
- Built automated A/B experimentation platform with CUPED variance reduction, reducing experiment turnaround from 5 days to 2 hours
- Established dynamic RFM user segmentation framework for marketing campaigns, increasing CTR by 35% with 4.8x ROI
Data AnalystTengyun Data Solutions2020.07 - 2022.03 · Guangzhou
- Created 20+ automated Tableau/PowerBI executive dashboards serving 200+ daily decision makers
- Conducted multi-touch attribution analysis to reallocate marketing budgets, reducing customer acquisition cost (CAC) by 19%
Sun Yat-sen UniversityM.S. in Applied Statistics2018.09 - 2020.06
South China Agricultural UniversityB.S. in Mathematics2014.09 - 2018.06
Projects
CausalLab · Causal Inference & A/B Testing Toolkit Python, Statsmodels, Scipy, Pandas
2023.05 - 2023.12Open-source Python package implementing PSM, DID, and CUPED variance reduction for empirical data analysis.
Skills & Languages
DesignPandas / NumPy · Scikit-learn · LightGBM / XGBoost · Tableau / PowerBI · Airflow
CodePython · SQL (PostgreSQL / Hive / ClickHouse) · R · Shell
ResearchStatistical Inference · A/B Testing Design · Feature Engineering · User Segmentation · Causal Inference