Summary
Minoo Beyzavi is a data scientist and software engineer with a decade of experience building data-driven tools and business improvement initiatives, currently driving automation and analytics at Wells Fargo. She blends hands-on engineering—developing monitoring apps, ETL pipelines, and predictive analytics—with strategic program management to scale processes and track community impact across digital channels. Her background spans startups to enterprise, from building a real-time NLP pipeline that scaled sub-linearly to implementing decision-support systems for healthcare. Comfortable translating complex data into actionable visualizations and Gantt-driven project plans, she partners across functions to execute high-impact initiatives. Based in San Francisco, she values integrity and enthusiasm and has a track record of turning large, messy datasets into sustainable products that drive revenue and compliance. An often-overlooked strength is her continual focus on operationalizing models into secure, auditable tools that support regulatory oversight and community assessments.
10 years of coding experience
7 years of employment as a software developer
BSE, Information Technology Engineering, BSE, Information Technology Engineering at IUST
Mathematical Physics, Aerospace Engineering, Chemistry, Biomedical Engineering, Mathematical Physics, Aerospace Engineering, Chemistry, Biomedical Engineering at Young Physicists Association
Persian, English