Jayanthi Elango S Ramaiyan

Project:

Samsung Electronics America Analytics Team is responsible for supporting the Senior Director of Supply Chain and Analytics to build and improve descriptive to predictive models and execute strategic analytics projects for Samsung's Mobile Division

• Successfully implemented Hadoop jobs with Hive for data analysis, created Tableau dashboards to track forecast accuracy metrics and compiled weekly Business review reports.
• Environment: Tableau, Advanced Excel, SQL, Atlassian Jira, Confluence, Git Hub, Vertica, DBeaver, AWS EMR, Hadoop, GSCM, SAP

• Analyzed problems in query processing while it flowed through different stages of the sub systems in the Bing Geocoder data processing pipeline.

• Reduced engineering backlog bugs by 65% by identifying slow bug resolution dependencies, creating PowerBI rundown to track and monitor progress of bugs and release from engineers.

Environment: PowerBI, Advanced Excel, Microsoft Internal Tools, Azure Boards, Azure Data Explorer, Azure ML Studio, GitHub

Project:

Project Ground Truth has created and launched high-quality map data of 42 countries in Google Maps and its goal is to create map data of the entire world by using advanced algorithms, Aerial and Street View imagery, and data annotation.

As a data mapping analyst, I utilized advanced data modeling techniques to manipulate geospatial data sets to align with schema requirements and determined root cause analysis of problems or incorrect map data, resulting in a significant 10% reduction in process time.

Environment: Ground Truth, Google’s Internal Tools, Issue Tracker, Atlas

Project:

Project Ground Truth has created and launched high-quality map data of 42 countries in Google Maps and its goal was to map the entire world from authoritative data sources by using advanced algorithms, supplemental data such as aerial and Street View imagery, as well as data annotation to create map data that corresponds to real-world truth on the ground.

As an Associate Consultant, I collaborated with Ground Truth, Google's internal tools, Issue Tracker, Atlas environment to ensure efficient handling of complex mapping projects and achieved an exceptional accuracy rate of 99.98% by successfully running QA tools to answer key quality questions about imagery.

Environment: Ground Truth, Google’s Internal Tools, Issue Tracker, Atlas