I am a results-oriented Data Scientist and Machine Learning Engineer with over 6 years of experience in data analysis and more than 2 years focused on delivering end-to-end machine learning solutions that support critical business processes.
I build and deploy predictive models, including customer churn and user segmentation solutions, and I have practical experience with NLP, Generative AI, and RAG architectures.
I combine strong technical skills in Python, PyTorch, Databricks, and Azure with a solid business mindset, which helps me translate requirements into effective data products and ML solutions.
I have managed projects from PoC to production using MLOps practices such as CI/CD, Docker, and Git-based workflows, and I am comfortable working closely with stakeholders and cross-functional teams.
My background also includes analytics, data engineering, and business process improvement, including work with Power BI, ETL pipelines, Azure SQL, Snowflake, and process automation.
I recently completed postgraduate studies in Artificial Intelligence and Machine Learning and built a fully functional AI application as part of that journey, which strengthened my practical experience in applied AI development.
Working remotely as a Data Scientist and ML Engineer. Building and deploying predictive models, including churn and segmentation solutions, and applying NLP, Generative AI, and RAG approaches. Using Python, Databricks, Azure, Docker, and CI/CD to deliver ML solutions from PoC to production.
Worked in a hybrid role focused on data analysis and product ownership. Managed backlogs, wrote user stories and acceptance criteria, translated business requirements into technical solutions, and supported analytics initiatives including Power BI reporting and dashboard migration.
Led finance and accounting process improvements, automated workflows, and implemented Lean Six Sigma solutions. Delivered more than 50 process improvements and supported change initiatives using Python and Atlassian tools.
Master’s Degree / Bachelor’s Degree / Postgraduate Studies, Project Management / Finance and Accounting / Agile and Scrum
Completed studies in Project Management and Finance and Accounting, with additional postgraduate studies in Agile and Scrum / Agile Project Management.
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