About

Himanshu Rai is a Lead Data Scientist at Siemens, specializing in machine learning, AI, visualization, data processing, product, and application development. With 12.86 years of relevant experience, he has developed and implemented various statistical and machine learning models as a machine learning engineer. He has also filed a patent on cognitive HMI and developed patentable artifacts/solutions as a research engineer. As a member of the innovation team, he has created ideas to address business needs, implemented PoCs, and developed prototypes to evangelize the ideas. Additionally, he has created platforms and frameworks for predictive analytics. Himanshu is a core team member of the product development team in the healthcare space, where he has designed highly scalable classifiers leveraging machine learning, data regression, and rules-based models. He has suggested, collected, and synthesized requirements and created an effective product roadmap. His technical stack includes R/Python, Java, JavaScript, panda, scipy, numpy, scikit learn, Tensor flow, Keras, cran - H2O, rPart, RSNNS, D3.JS, Highchart.JS, ggplot2, matplotlib, Plotly, HTML5, JSP, CSS 3, Shiny, Servlet, Spring MVC, WebServices, Apache Kafka, node.js, Mysql, HBase, Cassandra, TimesTen, Oracle Coherence, Tableau, and Apache Tomcat, TomEE, Rserver. Himanshu has worked in the healthcare industry on the provider and payer side, claim processing and lifecycle, value-based care, care coordination and management, HIPAA, HL7, Medicaid, Medicare, and Tricare. He has also worked in the automotive industry on usage-based insurance (UBI) - PAYD, PHYD. Prior to Siemens, he worked at Altimetrik as a Staff Engineer in Machine Learning. Himanshu is a research scientist, data scientist, and machine learning expert with a keen interest in developing innovative solutions to solve complex business problems. His expertise in AI, visualization, data processing, and product development makes him a valuable asset to any team.