Data Science (AI/ML)
Transform business decisions using Artificial Intelligence and Machine Learning
Artificial intelligence (AI) in combination with the power of Machine Learning algorithms are empowering significant and rapid change in organizations globally. In particular, machine learning – a computer’s capacity to improve its performance without minimal instruction – is driving the development of new applications that can accelerate productivity and competitive edge for better customer services, production planning and distribution of goods.
Hypothesis Building
Breaking down the problem and identifying potential relationship between the key metric of the model (target variable) and the variables(features) those are assumed to influence it
Data Preparation
Data preparation is a set of procedures that helps make a dataset ready to be used for a Machine Learning or AI based model. Sometimes these procedures take the most time in the model building process
Model Training and Iteration
Using multiple models and iterating through variables to find the right model that explains the target variable and can be scaled to predict the unknown values
Machine Learning Operations (MLOps)
The model should be scalable and production ready to automate and integrate with existing or new tools within the ecosystem
