AWS Graph Data Scientist

Ontology/RDF Development, Protege, Apache Jena Fuseki Server, StarDog SPARQL endpoint integration in Python/Django Website. Data Analyst in ML. 

Data Scientist

Django REST Framework (DRF):

DRF is a powerful toolkit for building Web APIs in Django.
It provides tools for serialization, authentication, permissions, and more.
DRF enables the creation of RESTful APIs that can be consumed by various clients.
Django ORM (Object-Relational Mapping):

Django's ORM allows developers to interact with the database using Python objects.
It simplifies database operations, such as querying, inserting, updating, and deleting records.
The ORM supports multiple database backends, including PostgreSQL, MySQL, SQLite, and Oracle.
Django Templates:

Django comes with a built-in templating engine for rendering dynamic web pages.
Templates allow developers to separate HTML markup from Python code.
They support template inheritance, context variables, loops, conditionals, and filters.

Understanding graph data models, nodes, relationships, and properties.
Overview of graph query languages like Cypher and their syntax.
Best practices for designing effective graph data models in Neo4j.
Choosing the right graph structure for representing domain entities and their relationships.
Handling complex relationships, including various relationship types and properties.
Performing graph analytics for tasks such as community detection, centrality analysis, and path finding.

Working with AWS Service like S3, EC2, Glue (PySPARK), DynamoDB, Step Function,
Lambda, Neptune, Athena, Cloud9, SageMaker, Code Buider

PhD (CS)  Ontology SPARQL RDF Python/R for Data Science ML NLP Tableau

Ronak Panchal

I have developed RDF/Ontology as Backend and Integration in Python/Django web application.

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Ronak P.

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