Siqin Shen is a Data Scientist III with a decade of engineering experience blending full-stack development, mobile app delivery, and applied data science. She has led end-to-end products—designing UI/UX, implementing frontend and Firebase-backed infrastructures for PromptBug, and independently shipping cross-platform Flutter apps on the App Store. In analytics roles at the MTA and Port Authority she translated complex operational problems into production-ready models and tools, from SQL-to-NLP query translators to a toll recovery classifier and time-series anomaly detection. Siqin pairs rigorous academic training (MS Data Science, Columbia) with hands-on cloud and ML systems work, reducing manual processes by 95% and achieving a 95.5% F1 in research validation. Comfortable communicating technical results to executives and non-technical stakeholders, she often bridges product, data, and design to turn ambiguous problems into measurable impact.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA Mathematics and Computer Science, Bachelor of Arts - BA Mathematics and Computer Science at New York University
Master of Science - MS Data Science, Master of Science - MS Data Science at Columbia University
High School Diploma, High School Diploma at Chongqing No.1 Middle School
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