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Developing user-friendly interfaces with Streamlit and FastAPI to make predictive models more accessible.
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Documenting each project for smooth deployment and long-term usability using Docker, Git, and CI/CD pipelines.
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Creating educational content to help others apply data science in practical ways, soon to be shared on LinkedIn and Medium.
I’m pursuing my MSc in Data Analytics at The Catholic University of America, with a solid background in IT consulting, data wrangling (Pandas, SQL), data visualization (Matplotlib, Seaborn, Tableau, and Power BI), and machine learning (Scikit-learn). My career goal is to work with Data, might learning or machine learning, building tools that empower analysts, scientists, developers, and decision-makers alike.
- SQL, Python, ML
- AWS, Apache Kafka, Docker
Let’s connect, whether you want to collaborate, exchange ideas, or share insights. I may respond slowly, but I always do.
Reach out to me via delphin.kaduli@gmail.com