Using DataScience Approaches
Our client developed its unique and best-in-class analytics system to make data easy to use, analyze, and generate insights for transformation.
Projects are related to the development of tools used in consulting practice that speed up data analysis and allow generating insights for the end client's businesses. For example, they focus on improving situation analysis, optimizing costs for marketing campaigns, optimizing the product range, and improving pricing policies.
Project Description
A management tool for pharma clients that allows Medical Affairs to fundamentally transform strategy, insights, resource allocation, field operations, and accountability, ultimately improving care for patients. This solution combines disparate data sources with clinically-informed algorithms to map patient journeys and identify opportunities to improve care.
The product provides a full data processing path: from unstructured big datasets to high-quality interactive visualizations using cloud solutions and elastic computing.
Technology stack: Python 3.10 (async web: Dash, Flask), Kubernetes, Terraform, AWS (EMR, EC2, S3, SNS, Lambda, etc.), SQL (PostgreSQL), Git as GitHub Enterprise, Bash, Jira, Confluence, CI/CD (Docker, Circle CI, Github Actions)
English: Upper-Intermediate
Locations: Poland
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