Summary
Julian Johnson is a Senior Data Scientist based in San Francisco with nine years of cross-industry experience translating complex engineering problems into actionable analytics and business impact. Trained as a mechanical engineer and now pursuing an MS in Analytics at Georgia Tech, he blends rigorous quantitative foundations with production-grade SQL and Python expertise to drive end-to-end analytical solutions at Meta and previously Facebook (Global Sales Analytics) and Twilio. He excels at communicating technical findings to non-technical stakeholders and executives, turning data into clear financial and operational recommendations. Julian’s background in energy and manufacturing (PG&E, Tesla) gives him an uncommon ability to connect physical system knowledge with sophisticated data science—enabling more robust feature design, validation, and anomaly detection in real-world systems.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS Analytics Business Analytics, Master of Science - MS Analytics Business Analytics at Georgia Institute of Technology
BS Mechanical Engineering, BS Mechanical Engineering at Gonzaga University
High School, High School at Saint Ignatius College Preparatory
Data Science, Data Science at UC Berkeley Extension
English, Spanish