Sofiane Medjkoune

I support Servier in the end-to-end framing, design and delivery of Data & GenAI solutions, ensuring that technical products effectively address business needs. I work closely with cross-functional teams to translate complex business requirements into scalable data products, using state-of-the-art cloud and AI technologies within an Agile delivery model.

Ekimetrics is a global leader in data science. We help companies steer their data opportunity, build data capabilities, and deploy actionable solutions, to power up marketing and operational performance, as well as (re)energizing business models.

I worked with multiple clients in multiple (both short, and long missions) on designing, implementing & managing industrialized and scalable data solutions while leading the cloud infrastructure architectures. I also worked as a data engineer on mulitple projects.

My added value ? I collaborate with business teams and stakeholders to align technical solutions with business goals.

Skills : Google Cloud Platform (GCP), Azure, Databricks, MLOps pipelines, DataLakes, Data Warehouses, CI/CD, Terraform, Docker, Git, Python.

Working as a data engineer on data analysis and predictive methods to improve pricing strategies. My main missions were :

- Study and implementation of predictive methods applied to Pricing in a BtoC Pure Player context.

- Development of optimization methods in high dimensionality.

- Set up of the data platform and data integration pipelines.

- Test and prod deployment (Gitlab CI/CD, Docker, GCP and Airflow).