Title: Data Science Product Development In the (AWS) Cloud
Abstract: Customer-facing software products are complex in nature and usually developed by multiple teams of engineers. On the other hand, software products build for internal business teams such as finance, marketing, human resources, etc. are domain-specific and small user group focused. Providing data science solutions as software services for internal business teams with full-stack developer teams can have high development costs. Businesses might fall back or hesitate to build such products due to high maintenance and developer cost. Hence in My presentation, I would like to showcase how a Data Scientist can wear many hats and provide a full-stack data science solution, which is easily maintainable, reusable, and cost-effective at least from the development point of view due to its Cloud Native nature. In my presentation, I would like to demonstrate a real-world use case I have implemented using AWS services such as Sagemaker, Lambda, API gateway, S3, and DynamoDB with Python SDKs to develop a Natural Language Processing (NLP) application for internal business use.
Speaker: Sheikh Samsuzzhan Alam
Affiliation: Senior Data Science Developer for Operation, Novartis Pharma, Czech Republic.
Venue: ISRT seminar room
Date and time: 2.00 pm on Monday, 24 July 2023