Data Scientist
Building Solutions for Manufacturing Domain end users in Root Cause Analysis, Finding Patterns through windowing technique and Unsupervised Algorithms.Also worked for Predictive Learning, which is a prime offering to customers to analyze IoT data on Siemens Mindsphere platform. This toolkit can pull data from various sources with ability to process/clean/transform millions of data points as a first step. Product’s value lies in its Machine Learning packages, Model creation/deployment/prediction and ultimately leading to prescription to improve businesses. Key Responsibilities: Building Production ready Microservices to be used across teams in Siemens Mindsphere platform. Also involved in Cost optimization projects. Development on JAVA Spring Boot, RESTful Web Services, Spark on AWS Infrastructure with five principles of well-architected framework. Part of the Research team that architects the solutions to solve Business problems.
