Summary
Manognya B is a data scientist and AI/ML engineer with four years of hands-on experience building and deploying production-grade machine learning systems across travel, automotive, and telecom domains. At Expedia Group she prototypes at scale using Spark/Scala, Azure ML and AKS to deploy deep learning and recommender systems, while earlier roles at Nissan and Motorola sharpened her distributed data engineering, Spark/Hadoop, and ETL skills. She blends strong ML modeling (CNNs, transformers, reinforcement learning, embedding retrieval) with pragmatic software engineering and MLOps practices, including model versioning, security, and microservice deployment. Comfortable across Python, SQL, TensorFlow and cloud platforms (Azure, AWS), she also brings data-architecture experience from designing canonical and dimensional models. An unusual strength is her cross-disciplinary background—mechanical engineering training plus a business-focused data science postgraduate—helping her translate complex technical results into business impact.
4 years of coding experience
7 years of employment as a software developer
Postgraduate Degree, Data Science and Business Analytics, Postgraduate Degree, Data Science and Business Analytics at Texas McCombs School of Business
Bachelor's degree, Mechanical Engineering, A, Bachelor's degree, Mechanical Engineering, A at JNTUH College of Engineering Hyderabad