Iloh Fransisca

I am an experienced data scientist with a robust skill set in machine learning, statistical analysis, and data-driven decision-making. Throughout my career, I have designed and deployed sophisticated machine-learning models to address diverse business challenges. My expertise includes implementing algorithms and fine-tuning systems for optimal performance and scalability.

I have a proven track record in analyzing user behavior data to derive actionable insights, driving improvements in recommendation systems. Proficient in programming languages such as Python and R, I have developed and deployed scalable machine-learning models in production environments. My familiarity with cloud services, particularly AWS, extends to recommendation algorithms and AWS Personalize.

Collaboration is integral to my work, as evidenced by my seamless integration of machine learning models into existing backend infrastructures through close collaboration with engineering teams. Additionally, my ability to work alongside product teams ensures alignment between user needs and technical solutions.

I am well-versed in big data technologies, data pipeline management tools, and have a working knowledge of DevOps practices, contributing to a holistic approach in deploying and managing machine learning models.

In summary, my experience as a data scientist encompasses a range of skills, from model development and deployment to collaborative integration and continuous improvement of recommendation systems.