Location: Germany (Munich, Stuttgart, Frankfurt)
Remote: Yes (in Germany)
Willing to relocate: Yes, to the vicinity of the above locations!
Technologies: Machine Learning (Scikit-Learn/Numpy/ Scipy), Deep Learning (Tensorflow/PyTorch/Keras), Big Data Analytics ( PySpark / Hadoop), Cloud Computing (Azure / Google Cloud), Programming (C/C++/Python/Java/R), DevOps Platforms (GitHub / GitLab (CI/CD) ), DevOps IDEs (PyCharm / Visual Studio), Relational Databases (MySQL / MongoDB), Data Visualization ( Power BI, Plotly).
CV: https://cutt.ly/8kpmQuJ
Linkedin: https://www.linkedin.com/in/bhosseini/
Email: bbkhosseini@gmail.com
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I am an experienced Data Scientist, currently employed as a research associate at TU Dortmund. My goal is to expand my career in a fast-paced corporate that has ambitious visions about the future of IT solutions.
I can bring with me expertise in several key areas of data analytics and machine learning, ranging from modeling potential business problems to developing advanced data-driven solutions, which I have acquired in the course of my career so far and in various projects. I have the required advanced skills for processing and analyzing cloud-based SQL / NoSQL databases, especially in Big data frameworks, as well as the required proficiency in programming languages such as Python and C++ to implement any complicated machine learning algorithm.
Integrated into your team, as a Data Scientist, I would like to focus on state-of-the-art methods and technologies that bring innovative while explainable solutions for customers and domain experts and take responsibility for the design and implementation of excellent machine learning models. The tasks associated with a company's diverse portfolio always appeal to me very much. In this context, it would be a pleasure for me to broaden my horizons with new specialist knowledge and technologies by dealing with diverse challenges.