Shiv Balodi

Shiv Balodi

Role
Principal Data Scientist at Northrop Grumman
Location
Washington, DC, US
LinkedIn followers
500 followers

About Shiv Balodi

Outgoing leader and recent graduate from Virginia Tech, with a degree in the number 4…

Experience

  1. Principal Data Scientist

    Northrop Grumman

    May 2022 — Present

    Enterprise MLOps Tool Evaluation o Lead aspects of the Chief Data Office’s MLOps Tool Investigation and Evaluation o Lead engagements and opened relations with external MLOps tool vendors o Created MLOps Evaluation Methodology, Weighting Schema, and Score Matrix for objective comparative tool evaluation metrics o Lead Proof of Value efforts for tool investigation, which included use case ideation and implementation through various MLOps tools, estimation of ROI metrics, and SWOT analysis of tools o Supported in the creation of Standardized NG MLOps Workflow which helped to identify “must have” tool capabilities, and current capability gaps at Northrop Grumman o Built, distributed, and compiled data from MLOps Surveys to Internal Data Science Subject Matter Experts (SMEs) and technical leads to elicit information about current MLOps vendor tools used internally and sentiment behind the user experience for the tools. • Data Science Center of Excellence o Supported the Data Science and Special Projects team in the ideation and mechanization of the Data Science Center of Excellence o Supported Center of Excellence Vision, Mission Statements, and Concept of Operations (CONOPS) • Negoti-AI-tor Contract Lifecycle Management Tool o Lead the Chief Data Offices adoption of the in house built Negoti-AI-tor tool. o Lead the rearchitecting effort of tool components including Global Supply Chain workflow processes, Legal workflow processes, and Artificial Intelligence Contract Risk Prediction Model. o Lead Feasibility assessment for continuing to fund in house tool creation effort vs buying a COTs tool • Automatic Generation of AFSIM Simulation Scripts from Cameo Systems models o Lead in the reference architecture of System Model o Developed Jython (Python distribution that can use Java Libraries) scripts to extract System Parameters, expedite the creation AFSIM simulation scripts, and create a reusable library of modular components ready for simulation

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