Harsh Vardhan

Project/CLIENT:Public safety Power shutoff/Pacific Gas and Electric(PG&E)

• Collaborated on the design, planning, and development of PSPS systems to mitigate wildfire risk through circuit shutdown.
• Developed Python scripts utilizing esri, pandas, pyspark libraries to identify outage regions.
• Deployed applications on AWS cloud using services like EC2, ECS, Lambda,Glue,S3.
• Utilized Flask microframework and AWS gateway to create advanced RESTful APIs.
• Created unit tests for existing and new Python code using PyTest framework.
• Implemented Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins,AWS CodeBuild, CodeDeploy, and CodePipeline.
• Collected, edited, analyzed, integrated, maintained and disseminated geospatial information using various software packages such as ESRI's ArcGIS Pro,ArcMap
• Created GIS maps using mxd and published onArcGIS server to visualize spatial data.
• Provided technical guidance in the use of GIS software tools such as ArcGIS Desktop, ArcMap, ArcCatalog, ARCGIS ONLINE,ArcToolbox to team.
• Effectively managed coordination between offshore and onshore teams for assigning user stories.
• Effectively facilitated client interactions for gathering new requirements and coordinated seamless production deployments.
• Managed a team of junior developers to ensure successful completion of projects on time and within budget.

PROJECT/CLIENT: OAC/GE HEALTHCARE

• Created a highly efficient program utilizing VB macro to migrate over 20 million records from OKOS to option activation.
• Developed Python script used to convert flat files into predefined format to be used for uploading
• Development of user stories and requirement gathering
• Developing new feature to support new ultrasound product releases
• Facilitated communication and collaboration among team members in the role of group lead.
• Development of various report and analysis using tableau

CLIENT:NIELSEN

• Understanding and Analysis of CloudAPI business requirements
• Development of test strategy and plan for the product
• Project Nielsen's CloudAPI a core component of Nielsen’s Total Audience Measurement framework—provides daily measurement of audiences across digital content types including video and text, with metrics fully comparable to television
• Once data is collected it is sent to Nielsen Census data platform and facebook to further analysis

CLIENT:NIELSEN

• Understanding and Analysis of Code Reader business requirements
• Defining the product software architecture
• Writing code for different features and requirements
• Development of software methodology for validating the test execution
• Defect fixing and defect tracking
• The codes will have the information of the channel and the timestamps, which we parse and find out what is being viewed on the TV.