Description

Data Collection: Identify and Collect data from various web sources via web scraping for model training purpose. Data Organization: Filter the obtained, clean it and prepare it for model training. Model Prototyping: Theorize, search and code the model architectures relevant to specific problem at hand. Model Training: Define network architecture and write the corresponding utility functions for training the model. Metric Definition: Create a metric to evaluate the model based on the provided problem statement. Model Testing: Test the trained mode using this defined metric.

Role and Responsibilities

• Data Collection: Identify and Collect data from various web sources via web scraping for model training purpose. Data Organization: Filter the obtained, clean it and prepare it for model training. Model Prototyping: Theorize, search and code the model architectures relevant to specific problem at hand. Model Training: Define network architecture and write the corresponding utility functions for training the model. Metric Definition: Create a metric to evaluate the model based on the provided problem statement. Model Testing: Test the trained mode using this defined metric.