Guanshu Tao
Senior Data Scientist @Mastercard
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WORK HISTORY
Senior Data Scientist @Mastercard
Vancouver, BC, CA
Delivering models for fraud detection in real time payments flow as well as other fraud scenarios like merchant compromise and large scale fraud attacks, as well as improving model performance, taking customer requests
EDUCATION
University of Alberta
Bachelor's degree
The University of British Columbia
Master of Data Science
ABOUT GUANSHU TAO
As an accomplished data professional with 3 years of working experience, I bring a strong foundation in statistics and data science techniques. I possess expertise in programming languages like Python, SQL, and R, as well as proficiency in machine learning, statistical analysis, and optimizations. I am a team player who thrives in collaborative and cross-functional environments. During my tenure at Teck Resource Limited, I worked on two optimization projects that combined machine learning with close collaboration among product managers, developers, and engineers. I successfully achieved numerous goals to improve product features, turning data into strategic insights and translating innovative techniques into business solutions. I hold a Bachelor\'s degree in Statistics from the University of Alberta and a Master\'s degree in Data Science from the University of British Columbia. My education background enables me to approach complex data challenges from various angles. I am a valuable asset to any organization seeking a dedicated professional with a proven track record in delivering impactful results through data-driven decision-making and cutting-edge analytics methodologies. Technical Skills: Programming & Query Language: Python, R, SQL Data Analysis and Machine learning: Numpy, Pandas, PyTorch, Scikit-Learn, XGBoost, LightGBM, eli5, SHAP, Deep Learning (CNN, RNN, etc.), Data Visualization (Dashboard, Plotly, ggplot2, Matplotlib), MLflow, NLP & LLM (spaCy, NLTK, Word2Vec, etc.) Tools & Proficiencies: Git, Docker, Spark, Bash, Google Cloud Platform, Microsoft Azure, Databricks, AWS, Database Statistical analysis and modelling: Bayesian Theory, Time Series, A/B Testing, Causal Inference, Sampling Techniques
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