Alina Rivilis
Adjunct Professor @Saint Peter\'s University
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WORK HISTORY
Adjunct Professor @Saint Peter\'s University
Data Science and AI Professor. Development of courses, teaching, delivery of lectures, creation of assessments, curriculum, etc.Focus areas- AI & ML Foundations: supervised/unsupervised learning, neural networks, NLP, LLMs, retrieval-augmented generation (RAG), and building AI agents- AI/ML Capstone Courses: guiding students through end-to-end applied projects—from problem framing and data engineering to model development, evaluation, and production considerations- Advanced Statistics: statistical modeling, inference, experimental design, predictive modeling, supervised and unsupervised machine learning, NLP, hierarchical models, and applied statics for business.
EDUCATION
University of Phoenix
Master of Business Administration - MBA, Information Systems Management
York University
MSc, Statistics
York University
Bachelor of Science - BS, Mathematics and Statistics
ABOUT ALINA RIVILIS
Alina is a leader in AI, data science, and data engineering, with a strong track record of delivering value with data. She has 20+ years of experience leading teams of data scientists and data engineers, building AI-driven solutions, and implementing AI/ML strategies that drive business impact.She has successfully stood up analytics functions and AI products across industries, including finance, retail, loyalty, marketing, CPG, healthcare, banking, insurance, fraud modeling, and energy. Her expertise spans AI strategy, machine learning, and generative AI, delivering LLM-based applications and AI-powered insights to executive decision-makers.Key Strengths:* 20+ years of experience in data science, delivering AI-driven insights and solutions* Proven ability to define AI strategy and vision for data-driven organizations* Recognized AI & data science leader, with expertise in team building, mentoring, and leadership* Experience developing and deploying statistical and AI models to generate business value* Deep knowledge of emerging technologies, AI trends, and data-driven decision-making* Industry speaker and thought leader in AI/ML, with a focus on real-world AI applicationsCore Competencies:* AI/ML Strategy & Governance (LLMs, RAG, Multi-Agent AI)* AI Product Development & Monetization* Generative AI & NLP Applications* Data Science & AI Team Leadership (Scaling, Hiring, Coaching)* AI-Driven Business Transformation* ML Ops, CI/CD, Model Deployment* Big Data, Cloud AI Architecture (Databricks, Snowflake, GCP, Azure, AWS)* AI Risk, Privacy & Governance (Regulatory & Ethical AI)
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