Resume
James Ding
Data Scientist · Analyst
TN Visa Eligible · No Sponsorship RequiredJames Ding
604-842-6134 | james@dingjames.com | LinkedIn | GitHub | Portfolio
Calgary, AB · TN Visa Eligible · Relocating to the U.S.
Professional Summary
Data Analyst who ships production ML models, RAG pipelines, and AWS infrastructure. Looking for a team where data drives decisions.
Work Experience
- Conducted EDA on 12 years of flight operations data across 78K+ flights to identify key demand drivers, seasonality factors, and a COVID-era regime shift informing model design
- Built and deployed a Prophet time-series forecasting model achieving 10% weekly / 7% monthly MAPE in backtesting and 6% weekly / 2% monthly MAPE in live 2026 production, targeting 1%+ reduction in $49M annual empty leg positioning costs
- Built automated data ingestion pipelines (FL3XX, Salesforce, Foreflight → AWS Lambda → S3 → Snowflake) with end-to-end data quality monitoring and alerting
- Designed a data-driven RBAC workaround for FL3XX's booking platform by building a cleansing and segmentation pipeline with custom business logic mapping user roles (owner, individual, full access) and a manual override layer to manage edge cases
- Built QuickSight dashboards enabling real-time monitoring of operational KPIs, flight demand trends, and fleet utilization for executive and operational stakeholders
Projects
- Built a RAG backtesting pipeline over 200 landmark SCOTUS cases with temporal leakage prevention — Claude 3.5 Haiku on AWS Bedrock, FAISS vector search, MLflow experiment tracking, and a Streamlit dashboard; achieved 45.7% backtested accuracy on held-out cases
Education
University of Calgary
Calgary, AB
University of Illinois at Urbana-Champaign
Champaign, IL
Technical Skills
Programming: Python, SQL, R, JavaScript
Machine Learning & Statistics: XGBoost, Random Forest, Prophet, ARIMA, GLM/Regression, scikit-learn, GridSearchCV, cross-validation, feature engineering, time series analysis, statistical testing, A/B testing, experimental design, LLM application development (RAG, grounding, prompt/agent design, tool use, evaluation)
Data & Cloud: Snowflake, AWS (Lambda, S3, AppFlow, QuickSight, EventBridge, Bedrock, OpenSearch Serverless, API Gateway, CDK), pandas, NumPy, Excel, Git, REST APIs, JSON, CI/CD (GitHub Actions)
ETL & Data Engineering: ETL/ELT pipelines, data quality monitoring, dimensional modeling, data warehousing
Visualization & BI: matplotlib, seaborn, Plotly, Plotly Dash, QuickSight, Power BI, Tableau, Streamlit, interactive dashboards