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I'm John Yin, a results-driven Data Scientist and ML leader with 10+ years of cross-industry experience delivering production-grade ML solutions. I specialize in Generative AI, large language models, and end-to-end MLOps, and I enjoy turning complex data into practical business value. I thrive on building AI-powered products that scale, mentoring teams, and collaborating with stakeholders to translate data into strategic outcomes. Currently leading AI initiatives at Air Miles, I design modular data pipelines, deploy predictive models, and guide responsible AI practices.…I'm John Yin, a results-driven Data Scientist and ML leader with 10+ years of cross-industry experience delivering production-grade ML solutions. I specialize in Generative AI, large language models, and end-to-end MLOps, and I enjoy turning complex data into practical business value. I thrive on building AI-powered products that scale, mentoring teams, and collaborating with stakeholders to translate data into strategic outcomes. Currently leading AI initiatives at Air Miles, I design modular data pipelines, deploy predictive models, and guide responsible AI practices.

John Yin

Data Scientist, AI Engineer, AI Strategy Consultant, +2

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I'm John Yin, a results-driven Data Scientist and ML leader with 10+ years of cross-industry experience delivering production-grade ML solutions. I specialize in Generative AI, large language models, and end-to-end MLOps, and I enjoy turning complex data into practical business value. I thrive on building AI-powered products that scale, mentoring teams, and collaborating with stakeholders to translate data into strategic outcomes. Currently leading AI initiatives at Air Miles, I design modular data pipelines, deploy predictive models, and guide responsible AI practices.…I'm John Yin, a results-driven Data Scientist and ML leader with 10+ years of cross-industry experience delivering production-grade ML solutions. I specialize in Generative AI, large language models, and end-to-end MLOps, and I enjoy turning complex data into practical business value. I thrive on building AI-powered products that scale, mentoring teams, and collaborating with stakeholders to translate data into strategic outcomes. Currently leading AI initiatives at Air Miles, I design modular data pipelines, deploy predictive models, and guide responsible AI practices.

Available to hire

I’m John Yin, a results-driven Data Scientist and ML leader with 10+ years of cross-industry experience delivering production-grade ML solutions. I specialize in Generative AI, large language models, and end-to-end MLOps, and I enjoy turning complex data into practical business value.

I thrive on building AI-powered products that scale, mentoring teams, and collaborating with stakeholders to translate data into strategic outcomes. Currently leading AI initiatives at Air Miles, I design modular data pipelines, deploy predictive models, and guide responsible AI practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior / Lead Data Scientist at Airmiles

January 1, 2022 - Present

Led development and implementation of generative AI solutions using LLMs (OpenAI API, LangChain) to create an intelligent data chatbot delivering insights on internal datasets and industry information. Built modular data science pipelines to process transactions across 50+ partners using transfer learning. Engineered a content-based recommendation engine enabling 1:1 personalized marketing campaigns, boosting engagement by 25%. Built predictive churn models with 85% accuracy to quantify impact of partner exits over five years. Implemented time-series forecasting with de-seasonalization to separate trends from cycles. Developed attribution models using Shapley values and Markov chains to quantify channel contributions. Mentored junior data scientists and established governance, experimentation tracking, and responsible AI deployment practices.

Manager, Data Science and Customer Value at Scotiabank

January 1, 2020 - January 1, 2022

Supervised the development of the Customer Value Index (CVI) using ML to quantify customer engagement, affluence, and profitability. Established ARIMA-based forecasting models for revenue, cost of funds, and profitability. Developed churn and renewal-likelihood models for non-term and term products (80% accuracy). Created automated dashboards analyzing insurance penetration across products, driving a 15% increase in cross-selling. Segmented 8 million customers by lifetime value at each life stage to inform marketing decisions.

Senior Analyst, Data Science at Rogers Communications Inc.

January 1, 2017 - January 1, 2018

Enhanced ML pipeline for churn prediction, increasing customer capture rates by 35% while reducing marketing costs by 70%. Built SVM and Decision Tree models for customer segmentation based on spending behaviors. Led development of cross-channel performance visualization dashboards for executive decision making. Analyzed consumer enterprise data to provide actionable insights for strategy and customer experience teams. Developed automated processes for recurring analysis and reporting, increasing team efficiency by 30%.

Compliance Data Analyst at Crystal Group

January 1, 2014 - January 1, 2017

Leveraged machine learning techniques to identify compliance risks through production data analysis. Developed ETL processes to produce KPI reports supporting management decision making. Built structural models of consumer behavior to identify patterns in customer complaints and quality responses. Created visualization dashboards in Tableau for presenting compliance metrics to government agencies and business partners.