The analytics team is dealing with disparate and complex data warehouses and is looking at leveraging machine learning to enhance BI
Upskilling the analytics team to enable them to leverage machine learning capabilities, concepts and algorithms to deliver value in terms of business intelligence to the different business units
Approach
A customized training intervention covering Azure Machine learning, Python programming for data science with mentoring of the team post training.
The participants learned data sourcing, cleaning, data manipulation and how to apply machine learning models to solve business problems within the pharma industry with the help of functional role aligned use cases.
Mentorship post training on identified project challenges.
Achievements
Acquired new data analytics capabilities to apply azure machine learning and advanced python techniques.
Upskilling of the team leading to the ability to work upon both structured and unstructured data analysis.
After the core training, our continued support to the team as a mentor over a period time enabled them to start applying the newly acquired Azure/Python ML knowledge in their day job.
