Suchi Vora is a Machine Learning Engineer with 11 years of experience applying data mining and statistical modeling to high-volume, high-dimensional datasets. She holds an MS in Computer Science from San Francisco State University and has hands-on experience building anomaly detection and graph analysis pipelines at Automattic, including a Seasonal Trend Decomposition detector and a PageRank computation over 20M+ edges using Spark GraphX. Proficient in Python, Java, Scikit-learn, pandas, and SQL/PLSQL, she blends strong analytical rigor with practical engineering—writing Hive queries for marketing analysis and contributing to a Data Insights Field Guide to make findings accessible. Earlier roles in application development and web migration gave her full-stack perspective and disciplined software practices. Based in Pleasant Hill, CA, she is driven to tell compelling data stories and continually deepen her expertise in cloud and machine learning systems. An often-overlooked strength is her track record of translating complex analytics into localized documentation and operational tools that scale across teams.
11 years of coding experience
1 year of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at San Francisco State University
Bachelor of Science (B.Sc.), Information Technology, Bachelor of Science (B.Sc.), Information Technology at University of Mumbai
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