Summary
Roja Immanni is a Senior Data Scientist based in San Francisco with 8+ years of experience applying predictive modeling, anomaly detection, and sentiment analysis to drive business outcomes. She couples a strong academic foundation—a 3.9 MS in Data Science from the University of San Francisco and research experience at UCSF—with hands-on product and data engineering experience from earlier roles at Urban Ladder. At UCSF she built highly efficient deep learning models for medical imaging, shrinking model size by over 50x while maintaining performance and cutting training costs and time by roughly a third, demonstrating an eye for practical, resource-aware ML. At EXL she focuses on social-media engagement forecasting and analytics, translating complex models into actionable insights for stakeholders. Her background in product management and enterprise system implementations gives her a rare combination of technical depth and operational fluency, making her adept at taking models from prototype to production in resource-constrained environments.
8 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Madras
Master's degree, Data Sciences, 3.9, Master's degree, Data Sciences, 3.9 at University of San Francisco