Yiming Yang

WORK HISTORY

EDUCATION

ABOUT YIMING YANG

I bridge the gap between data science and business strategy, transforming user pain points into scalable, data-driven solutions. With experience spanning banking, CPG, and gaming during my early career, I’ve spent the past four years at Loblaw building and scaling machine learning products in the fast-paced retail space. Here, I deliver production-grade ML with real business impact for consumers, colleagues, and the company as a whole—powered by a modern tech stack and a culture of continuous learning. It’s an incredible environment to grow, stay inspired, and do meaningful work.As a Senior Data Scientist, I’ve led initiatives in attribution, measurement, and promotional planning & optimization—developing products that enable smarter decisions and enhance customer experiences. I bring hands-on expertise across the full ML product lifecycle, from prototyping to production in microservice frameworks (Docker + Kubernetes on GCP), and thrive in cross-functional teams alongside engineers, designers, and PMs.Currently, I’m exploring Generative AI and Agentic AI to streamline workflows and unlock new value for businesses.Professional Skills- Data Science data mining and machine learning (feature engineering, regression, classification, clustering), NLP (Topic Modeling, Sentiment Analysis, LLM), Data Visualization (Matplotlib, Seaborn, Plotly, Tableau)- Software Development Python (NumPy, Pandas, Scikit-learn, NLTK, Matplotlib, Seaborn, Selenium), SQL (Teradata, BigQuery, PostgreSQL), R, Pyspark, FastAPI, GCP, Infrastructure (Docker, Kubernetes, Terraform), Apache Airflow, Git, CICD, Domain-Driven Design, Looker, Power BI, Qlik, JIRA, SAS, Stata, Azure DatabricksFeel free to reach out for coffee!