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NESS.HERE

I analyzed and engineered features for Python modules, focusing on geospatial data for a vehicle navigation app, using tools like pandas and numpy. My role included deploying these modules on AWS using Docker, and optimizing maneuvers in specific road tiles. The process involved integrating various AWS services as a part of US based team.

Role Overview: Data Analysis and Engineering Expert for Geospatial Navigation App

Introduction

In my role, I focused on data analysis and the development of Python modules for a vehicle navigation app. My expertise lies in handling and interpreting geospatial data, derived from a variety of sources, and in deploying robust solutions on AWS using Docker.

Technologies and Expertise

  1. Python: The core language for all development, used for scripting and building Python modules.
  2. Pandas & Numpy: Essential for data manipulation and numerical analysis in Python.
  3. SNS Plots & Pyplot: Utilized for data visualization, crucial in understanding and presenting data trends.
  4. Shapely: Employed for geometric and spatial analysis within our geospatial data tasks.
  5. AWS & Docker: Responsible for deployment and monitoring, ensuring scalable and efficient application performance.
  6. AWS Services (SQS, S3, EC2): Key components in managing the application's infrastructure, data storage, and scalability.

Role in Action

  • Engineering New Features: I developed new features for the Python modules, enhancing the app's functionality.
  • Geospatial Data Analysis: Specialized in analyzing geospatial data from external (e.g., car navigation systems) and internal sources (HERE navigation), determining the best data sources.
  • Optimization of Navigation: Aimed to identify optimal maneuvers for vehicles in each tile, improving navigation accuracy.
  • Deployment and Monitoring: Managed the application's deployment on AWS, using Docker for containerization and a pipeline for smooth operation.
  • Team Collaboration: As part of a Chicago-based team, I communicated effectively in English, ensuring seamless teamwork and knowledge sharing.

Tech stack radar chart

NESS Techstack