Data Scientist | Machine Learning Engineer | AI Engineer
Data professional with six years of experience in analytics and project management—including 3.5 years in data science and 2.5 years in project management. Skilled at leveraging advanced analytics to extract actionable insights and guide strategic decisions. Proven ability to collaborate with cross-functional teams to implement data-driven solutions. Dedicated to staying current with industry trends and expanding expertise to deliver exceptional results in fast-paced environments.
Professional Machine Learning Engineer Certification
A Professional Machine Learning Engineer builds, evaluates, productionizes, and optimizes ML models by using Google Cloud technologies and knowledge of proven models and techniques. The ML Engineer handles large, complex datasets and creates repeatable, reusable code. The ML Engineer considers responsible AI and fairness throughout the ML model development process, and collaborates closely with other job roles to ensure long-term success of ML-based applications.
Oracle Cloud Infrastructure 2024 Generative AI Certified Professional
The Oracle Cloud Infrastructure 2024 Generative AI Professional certification is designed for Software Developers, Machine Learning/AI Engineers, and Gen AI Professionals. The prerequisite for this course includes a basic understanding of Machine Learning and Deep Learning concepts and experience with Python language. Individuals who earn this credential have a strong understanding of the Large Language Models (LLMs) and are skilled at using OCI Generative AI Service. They are also familiar with techniques such as Retrieval-Augmented Generation, Semantic Search, Vector database, and LlamaIndex, to build, trace, evaluate, and deploy LLM applications.