Summary
Irina Max is a Sr. Principal Data Science Lead with 15+ years of experience designing and operationalizing AI/ML solutions across cloud platforms for enterprises like Apple, Dell, and Change Healthcare. She combines deep statistical expertise (Bayesian inference, survival analysis, MMM) with hands-on engineering in R and Python, and a proven track record of saving significant resources—e.g., a 24% traffic reduction in A/B testing that translated to roughly $400K annual savings. Comfortable leading cross-functional teams through ambiguity, she builds scalable pipelines and governance using platforms like Dataiku, AWS, and Azure while mentoring engineers into high-performing contributors. Her background in economics plus post-master’s study at Stanford gives her a rare blend of quantitative rigor and business-first product strategy, evidenced by productionized forecasting and sales-opportunity models that improved accuracy and efficiency. Based in Mountain View, she specializes in complex, heterogeneous datasets—from manufacturing telemetry and OCR for invoice fraud to marketing attribution and clinical claims—turning noisy inputs into measurable business impact.
10 years of coding experience
6 years of employment as a software developer
Certificat Marketing Statistical Analysis Joining Data in PostgreSQL Text Mining Sentiment Analysis, Certificat Marketing Statistical Analysis Joining Data in PostgreSQL Text Mining Sentiment Analysis at DataCamp
https://www.futurelearn.com/certificates/hj7t8j1 Data Mining with Weka, https://www.futurelearn.com/certificates/hj7t8j1 Data Mining with Weka at Univerisy of Waikato
Master's degree Economics, Master's degree Economics at Tashkent State University of Economics
Certificate Cloud Business Strategy, Certificate Cloud Business Strategy at Microsoft, SherWeb, CompTIA
Statements of Accomplishment (Post Master's Education) Computer Science, Statements of Accomplishment (Post Master's Education) Computer Science at Stanford University
English, Russian, Uzbek