Chandigarh, India
I am a Data Scientist at Oceaneering, driving digital transformation through IoT, Edge Computing, and Cloud Data Engineering. My expertise lies in Azure (IoT Hub, IoT Central, Event Hub, Synapse, Data Factory, Databricks), Microsoft Fabric (Lakehouse, Eventstream, OneLake, Power BI), and DevOps (GitHub Actions, JFrog Artifactory) to build scalable data solutions. I have successfully integrated ROV telemetry (ORCA & Isurus systems) with Azure IoT Central + Microsoft Fabric, enabling real-time event processing, predictive maintenance, and advanced analytics. My work ensures seamless data flow from offshore assets to cloud platforms, empowering operational insights and business value. Key Highlights Architected IoT Edge modules for real-time device connectivity, telemetry ingestion, and configuration management. Designed event-driven data pipelines in Microsoft Fabric, improving latency, governance, and scalability. Automated container deployments via CI/CD pipelines using GitHub Actions + JFrog. Conducted gap analysis between SCADA-based architectures and Fabric-based cloud-native solutions. Delivered predictive modeling & AI-based interpretation of offshore risers and collector rings. I thrive at the intersection of IoT, data engineering, and real-time analytics, helping organizations unlock value from industrial data.
Built a data appliance system connecting ORCA & Isurus ROV telemetry with Azure IoT Central + Microsoft Fabric. Streamlined real-time monitoring pipelines (Eventstream → Lakehouse → Power BI dashboards). Optimized IoT Edge modules with shared volumes & automated config reloads. Modernized CI/CD pipelines during transition from Azure Container Registry to JFrog Artifactory.
• Excellence in Data Science/ Machine Learning practice; analysing problems and uncovering opportunities using statistical analysis, forecasting/ predictive modelling & visualizations; exhibited excellence in developing pipelines to analyse large simulation datasets combining other modelling tools Keen Analyst with proven background in providing data-driven, action-oriented solutions to challenging business problems • Data Scientist with the capability to deliver valuable insights through data analytics and advanced data-driven methods like EDA Techniques, Standardization, Data Visualization and Cross Tabulation • Strong working knowledge of data warehouse techniques and practices, including ETL processes, dimensional data modelling, OLTP/OLAP, star schema and ETL performance tuning. • Followed UML based methods using Rational Rose to develop use cases and activity diagrams; assisted developers in creating sequence diagrams and collaboration diagrams. • Identified identical behaviour of customers filing high claims and thus providing suitable disease management programs for the customers exhibiting specific health-related problems. • Worked on automation of oracle reports to PowerBI reports as well as interact with the End users and documented their query, business analysis and reporting needs. • Experienced in working with JIRA.