Dayananda Ubrangala
Principal Applied Scientist at Oracle
Bengaluru, Karnataka, India
Summary
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Senior🎓
Top SchoolDayananda Ubrangala is a Principal Applied Scientist with a decade of hands-on experience building and deploying ML solutions across enterprise SaaS, search, and market-research domains. He blends statistical rigor from a Master's in Statistics with production-grade engineering—designing Azure Databricks/AML pipelines, FAISS-indexed search endpoints, and automated retraining flows that improved CTR and reduced no-results rates. His work spans propensity, churn, LTV and anomaly-detection models for customers at Microsoft, VMware and others, and he has driven ML for business risk prediction and mining-truck survival analytics. An active open-source maintainer of R libraries (DriveML, SmartEDA) and a KDD presenter on data quality for ML, he couples research contributions with measurable product impact. Colleagues know him for turning messy, cross-platform data (SAS/SPSS/R migrations) into reliable pipelines and for shipping explainable models including GPT-based summarisation for stakeholder-facing insights. Based in Bengaluru, he brings a rare mix of statistical depth, MLOps pragmatism and domain breadth across healthcare, retail, energy and market research.
8 years of coding experience
11 years of employment as a software developer
Master Degree Statistics, Master Degree Statistics at Mangalore UniversityBachelor’s Degree Statistics, Bachelor’s Degree Statistics at Kannur University
English, Malayalam, Hindi, Kannada, TamilGithub contributions (5)
cran/SmartEDA
Apr 2018 - Dec 2022
Contributions:12 commits, 1 comment in 4 years 8 months
cran/DriveML
Jun 2020 - Dec 2022
Contributions:5 commits in 2 years 6 months
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