Ariane Jacob

I’m an applied data scientist with over 4 years of experience designing and deploying data-driven solutions in a professional setting. I bring excellent proficiency in Python, machine learning, and analytical modeling, with a direct focus on decision-making, product innovation, and customer-focused projects. With a background in scientific research and complex data analysis, I approach problems pragmatically—prioritizing implementation and measurable results.

In my role as a Data Scientist, I contribute to product and technology development in collaboration with R&D and marketing. I develop and implement test benches, analyze and interpret results, and produce reports that help teams move from analysis to execution. I also lead continuous improvement based on customer feedback, and support project implementation while contributing to best practices for architecture and security.

I work end-to-end across the lifecycle: serving as a liaison across departments, building tools that meet client needs, and developing predictive and prescriptive models. I also develop dashboarding and reporting solutions using Power BI and visualization libraries, and I support deployment and governance with FastAPI/Flask, Docker, and MLflow—plus documentation and versioning to keep delivery reliable.