Summary
Sahasra Iyer is a Senior Data Analyst with seven years of experience applying big data, machine learning, and NLP to deliver production-ready analytics and recommendation systems. A UMass Amherst MS in Computer Science, she built a logistic regression success-prediction model and a content-based mentor–mentee recommender for MassChallenge using Python and Apache PySpark. At Citi she migrated PL/SQL feeds to Spark/Scala, cut a critical error rate by 97%, and halved execution times by leveraging Spark’s in-memory capabilities, earning a Citi Gratitude Award. Now at Dow Jones, she combines rigorous engineering practices with domain-savvy analytics to turn proprietary datasets into actionable insights. Known for cross-functional collaboration and reliable delivery, she pairs hands-on coding with strong testing discipline (JUnit/Mockito) and a practical eye for optimizing legacy pipelines. Beyond models and pipelines, she brings a knack for translating messy business data into maintainable, high-impact solutions.
7 years of coding experience
Bachelor of Engineering Information Technology, Bachelor of Engineering Information Technology at MKSSS Cummins College of Engineering for Women
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Massachusetts Amherst