Hire Muralidharan - MLOps Engineer

* Collaborated with a team of data scientists and trained & implemented more than 20+ models in AstraZeneca's Oncology business unit to predict the type of lung cancer, its stage, and the sort of treatment that patients are receiving using classification model. * Utilizing NLP techniques, trained & implemented adverse events prediction model using Logistic Regression aids the business team in identifying adverse events in the free text and taking appropriate action. * Acting as a key architect in designing and integrating MLOps framework, as well as the implementation of the CI/CD pipeline for all trained models. * Build MLOps framework in both AWS and Databricks environments and as well as stabilizing the model runs in BAU environment. * Created a proof-of-concept for the computer vision problem of identifying the status of the syringe image (injected/non-injected) by exploring Deep learning CNN techniques.

* Worked as RPA Lead & architect, designed and developed 30+ business processes using Automation Anywhere tool * Organized brainstorm sessions and hackathons across the application teams in AstraZeneca to identify an opportunities to automate their manual process through RPA. * Led the technical delivery of industry first 'Adverse Event(AE) reporting’ automation process through RPA * Involved in requirement gathering, design and development of enhancement requests * Trained 30+ resources in Automation Anywhere tool and helped them to achieve certification

* Acted as primary production support technical resource and performed fixing issues in production data * Collected requirement, designed and developed enhancement requests to setup new jobs in a production pipeline * Extensive and in-depth analysis of service requests/incidents on missing or wrong data