DataHour: Full-Stack Data Science with FastAPI

DataHour: Full-Stack Data Science with FastAPI

21 Mar 202414:03pm - 21 Mar 202415:03pm

DataHour: Full-Stack Data Science with FastAPI

About the Event

In today's data-driven world, the ability to seamlessly integrate data science models into web applications is paramount. FastAPI, a modern web framework for building APIs with Python, offers an unparalleled solution for developing robust and scalable applications. But how can we leverage FastAPI to unleash the full potential of data science in the web domain?

In this exclusive webinar, our expert speakers will guide you through the fascinating journey of Full-Stack Data Science with FastAPI. Whether you're a seasoned data scientist looking to expand your skill set or a web developer eager to integrate data science into your projects, this webinar is tailored for you.


Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth
  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
  5. Best articles get published on Analytics Vidhya’s Blog Space

Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Thom Ives

Thom Ives

Senior Data Scientist at Echo Global

Thom Ives is a Senior Data Scientist at Echo Global Logistics, where he's at the forefront of revolutionizing shipping logistics across the United States. With a knack for developing cutting-edge AI applications, Thom's work is instrumental in enhancing efficiency and optimizing operations in the logistics domain. Throughout his extensive career, Thom has honed his expertise in crafting analytical models using a diverse array of data sources, multi-physics simulations, and real-world experiments. His passion for predictive modeling is matched only by his dedication to automating data pipelines, ensuring maximum returns on data investments for all stakeholders.

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Registration Details

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  • Professional Exposure
  • Networking Opportunities
  • Thought Leadership
  • Knowledge Exchange
  • Leading-Edge Insights
  • Community Contribution