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🔍 About Me 🔍I am a recent graduate with a strong enthusiasm for data science. My academic journey has been a deliberate path towards becoming a data scientist, driven by the desire to make a tangible impact through data-driven insights.🎓 Academic Foundation 🎓I hold a degree in Mathematical Modeling and Computation, complemented by a background in biomedical engineering. This diverse educational background equips me with a unique skill set poised to tackle the complex challenges presented by data analysis of various types of data.🧬 Technical Abilities 🧬My technical abilities includes proficiency in Python and hands-on experience with data analysis libraries such as PyTorch and scikit-learn. I'm also well-versed in model deployment using Docker and GitHub Actions for workflow management.💼 Early Professional Exposure 💼While my journey is in its early stages, I have gained valuable insights from my experiences. My background includes valuable experience in pharmaceutical operations, offering me a deep understanding of the rigorous standards governing the medical domain. As a student programmer, I've successfully crafted deep learning models that address real-world challenges. My time at Radiometer offered me the chance to work independently whilst communicating insights from data to stakeholders. Moreover, it sharpened my skills in SQL and PowerBI, further enriching my data science toolkit.🚀 Ready to Connect! 🚀I am eager to connect with professionals who share similar interests and aspirations. Let's network, exchange ideas, and explore opportunities together in the ever-evolving landscape of data science.#DataScience #MedicalData #DataAnalytics #NewGraduate #MathematicalModeling

Listed skills include Microsoft Office, Kundeservice, Teamlederskab, and Matlab.