Primary Responsibilities:
– AI Implementation: Implement AI solutions to automate tasks, improve customer experiences, and optimize operations
– Data Analysis and Interpretation: Analyze large datasets to extract meaningful insights and trends using Python and data science techniques
– Model Development: Develop, train, and deploy machine learning models to solve business problems and enhance decision-making processes
– Data Collection and Cleaning:. This involves cleaning and preprocessing data to remove inaccuracies, duplicates, and irrelevant information. Proficiency in data manipulation tools such as SQL, Excel, and Python is essential for efficiently handling large data sets
Primary Responsibilities:
– AI Implementation: Implement AI solutions to automate tasks, improve customer experiences, and optimize operations
– Data Analysis and Interpretation: Analyze large datasets to extract meaningful insights and trends using Python and data science techniques
– Model Development: Develop, train, and deploy machine learning models to solve business problems and enhance decision-making processes
– Data Collection and Cleaning:. This involves cleaning and preprocessing data to remove inaccuracies, duplicates, and irrelevant information. Proficiency in data manipulation tools such as SQL, Excel, and Python is essential for efficiently handling large data sets