Rutuja Pawar
Business Intelligence Analyst II at Applied Materials
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolRutuja Pawar is a Business Intelligence Analyst II based in Austin with 9 years of experience turning complex datasets into clear, actionable insights across finance, retail, e-commerce, and academia. With an MS in Information Systems from Northeastern University, she builds interactive dashboards in Tableau, Power BI, and Looker, writes optimized SQL and Python for large-scale data transformation, and automates ETL workflows on Snowflake, AWS, and Azure. Her work blends rigorous experiment analysis—A/B testing and trend forecasting—with pragmatic workflow optimization to drive measurable business impact. She also contributes to open-source ML tooling, improving cross-framework array creation in the ivy project, reflecting a hands-on interest in AI/ML and computer vision. Colleagues rely on her to make messy data understandable and to translate analytics into operational improvements that scale.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Information systems, Master's degree, Information systems at Northeastern UniversityBachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Savitribai Phule Pune University
Github Skills (12)
ivy10
pytorch10
tensorflow10
jax10
numpy10
python9
machine-learning9
deep-learning8
deeplearning-ai8
converter7
neural-network7
translation6
Programming languages (1)
Github contributions (5)
unifyai/ivy
Mar 2022 - Jul 2022
Convert Machine Learning Code Between Frameworks
Role in this project:
ML Engineer
ML EngineerContributions:28 reviews, 9 commits, 25 PRs in 4 months
Contributions summary:Rutuja primarily contributed to the `ivy` repository by modifying code related to array creation functions, specifically `full_like` and `eye`. These changes involved implementing and reformatting functionalities for various backends, including NumPy, JAX, TensorFlow, and PyTorch. The user also updated documentation examples and refactored existing creation functions to improve clarity and maintainability.
machine-learningpythontensorflowpytorchnumpy
RitujaPawas/ivy
Mar 2022 - Dec 2022
The Unified Machine Learning Framework
Contributions:67 pushes, 6 branches in 9 months
fairness-mlpythondata-sciencedeep-learningmachine-learning
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