Python Dev, Data science / Machine learning
Talented python dev and machine learning engineer with industrious and systematic approach to learning information. Open and clear worker with disciplined execution and methodical nature. Extensive knowledge of Data science with python/machine learning.
Skills
Experience
Education
Create and manage RESTful APIs: Django REST framework provides a consistent and easy-to-use interface for building RESTful APIs. It provides serializers for converting data between Python objects and JSON representations, as well as generic views for handling common API operations such as creating, retrieving, updating, and deleting data.Authenticate and authorize API users: Django REST framework provides a variety of authentication and authorization mechanisms to control who can access your APIs and what they can do. It supports both token-based and session-based authentication, as well as role-based and permission-based authorization.Paginate and filter API responses: Django REST framework provides built-in support for pagination and filtering to ensure that your APIs are scalable and efficient. It allows you to paginate large result sets and filter results based on user-specified criteria.Serialize and deserialize data: Django REST framework provides serializers for converting data between Python objects and JSON representations. Serializers allow you to control the structure and format of your API responses, and they can be customized to handle a wide variety of data types.Validate and sanitize user input: Django REST framework provides validation and sanitization features to ensure that user input is valid and secure. It allows you to define validation rules for your models and fields, and it can automatically sanitize user-submitted data to prevent XSS attacks and other security vulnerabilities.
Learn moreDesigning and developing machine learning and deep learning systems.Working closely with your business to identify issues and use data to propose solutions for effective decision making. build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation. Running machine learning tests and experiments. Implementing appropriate ML algorithms.
Learn moreThe aim of this ML project was to predict EV prices based on various features.
"The aim of this ML project was to predict if a customers would be a returning customer or not based on various features.
"The aim of this project was to build an image recognition model to be used by a social mdeia company.
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