Returning to My Roots - Embracing the Joys of Academic Life
Rediscovering my passion in academia as a Faculty Lecturer in Data Science and Machine Learning at BUAS after a rewarding decade in the industry.
☕️
About Me
Mohsen Davarynejad is a lecturer at the Breda University of Applied Sciences, where he focuses on teaching and research in areas such as Machine Learning, Deep Learning, Metaheuristics, and Operations Research. He is an experienced consultant with a proven track record in designing and implementing machine learning and AI solutions to solve complex business problems. Proficient in statistical analysis, data visualization, and storytelling, with hands-on expertise in Python (including Numpy, Scipy, Scikit-Learn, and gensim), Matlab, KNIME, PySpark, Microsoft Azure, Databricks, and ML Engineering tools such as Airflow, MLFlow, and Streamlit. Certified Azure Data Engineer (DP-203) and Azure Data Scientist (DP-100). Skilled in delivering ML/AI products and simplifying complex concepts for strategic decision-making.
– Career Highlights –
-
Full-Cycle Project Leadership and Technical Execution: Led the end-to-end development and management of several high-impact ML projects, actively participating in hands-on development alongside overseeing all project aspects. Took on roles ranging from project initiation and technical design to implementation while ensuring successful outcomes.
-
Cross-functional Collaboration: Collaborated with diverse teams including sales, marketing, and technical departments to drive successful project outcomes. Organized workshops with the goal to identify use cases and collaboration possibilities with HR, finance, and facility management departments, fostering a deeper understanding of their needs and enhancing cooperation across departments.
-
Relationship Management: Managed relationships with multiple vendors and representing my client to ensure the successful delivery of projects. This includes effectively coordinating with vendors to manage their deliverables, ensuring alignment with project timelines and objectives.
Interests
- Machine learning
- Predictive analytics
- Mathematical optimization
Education
-
PhD Artificial Intelligence
Delft University of Technology
-
Master of Science in Control Systems Engineering
Massachusetts Institute of Technology
-
Bachelor of Science in Control Systems Engineering
Massachusetts Institute of Technology
My Research
I’m a Lecturer in at Breda University of Applied Sciences. I blog about machine learning and deep learning.
I apply a range of qualitative and quantitative methods to comprehensively investigate the role of science and technology in the economy.
You’ve got ideas for collaborations? Please reach out.
Featured Publications
Recent Publications
(2015).
An example journal article.
Journal of Source Themes, 1(1).
(2013).
An example conference paper.
In ICW.
Recent & Upcoming Talks
Recent News