Shahrad Jamshidi is a Chief Data Scientist with nine years of experience blending academic rigor and product-focused ML engineering to solve real-world problems across startups, consulting, and higher education. He builds and stabilizes legacy systems, designs end-to-end data integrations and demand-forecasting models, and has led engineering teams while onboarding enterprise clients and third-party ERP integrations. With a doctoral background in mathematical biology, he brings a principled modelling perspective to machine learning tasks—from constrained supply-chain forecasts to CPC and budget optimization for ad platforms. He also teaches applied ML methods and mentors master's students, reflecting a talent for translating complex theory into practical Python implementations. Based in Santa Rosa, CA, he stands out for pairing deep research experience with hands-on deployment work and frequent client-facing collaboration.
9 years of coding experience
17 years of employment as a software developer
Dr. rer. nat., Mathematical Biology, Dr. rer. nat., Mathematical Biology at Freie Universität Berlin
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