Khushboo Ekhande is a Senior Data Scientist in the San Francisco Bay Area with six years of experience building ML systems and scalable software, currently advancing in-house search and ads capabilities at Walmart Global Tech. She has a strong MLOps focus—designing pipelines with Google Cloud, Vertex AI and Feature Store—and a background as a full-stack engineer that helps her bridge model development, deployment and production reliability. Her work spans anomaly detection on streaming data, genome-architecture research, and enterprise web applications, demonstrating an uncommon blend of research curiosity and product-driven engineering. A consistent fast learner with strong customer-facing communication, she pairs technical rigor with a track record of improving performance and reducing incidents in production. Pursuing further business and data science specialization (MBA and MS), she brings both technical depth and growing strategic perspective to data-driven product decisions.
6 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at San José State University
Master of Business Administration, Master of Business Administration at Sofia University
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at Maharshi Karve stree Shikshan Sanstha's Cummins College of Engineering for Women, Karve Nagar Pune 52
This software was developed for an analytical decision making approach to optimally determine if equipment is worth selling as whole or dismantled for service parts
Contributions:6 pushes in 3 months
decision-makingpythondecisionapproachparts
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