Summary
Andrea Soto is a Senior Data Scientist with 11 years of experience building end-to-end data products and experimentation frameworks across logistics, e-commerce, and SaaS. She has led time-in-transit forecasting, causal A/B testing, and supply-chain optimization projects at Shopify, Flexport, and DuckDuckGo, and has hands-on expertise deploying LLM-powered applications using LangChain and OpenAI. Comfortable across Python, PySpark, SQL (Snowflake/Redshift/Postgres), NoSQL, and BI tools, she bridges modeling, data engineering and product metrics to deliver measurable business impact. Andrea’s background in operations research and simulation (mining, transportation) gives her an edge in translating complex operational constraints into robust ML solutions. She’s equally fluent in hypothesis-driven experimentation and practical productionization—tracking cost, latency and quality trade-offs when evaluating AI agents. Based in Canada, she pairs a UC Berkeley MIDS with a pragmatic, cross-functional leadership style.
11 years of coding experience
7 years of employment as a software developer
Master of Information and Data Science, Master of Information and Data Science at UC Berkeley School of Information
Universidad de los Andes
Spanish, English