Daniel A.

As a Chemical Engineer and Python Developer, I am passionate about developing innovative solutions that optimize industrial processes for increased productivity, efficiency, and safety. With a strong background in process control, I have a deep understanding of the complex systems that drive industrial production, and am able to leverage my Python development skills to create custom software tools that automate routine tasks and provide valuable insights into process performance. I have experience working with a range of Python frameworks, including FastAPI, Django, scrapy and Jupyter Notebook, libraries as numpy, pandas, matplotlib, seaborn as well as databases such as PostgreSQL and MongoDB. Through my work with these tools, I have developed a deep understanding of how to integrate complex data streams, perform sophisticated data analysis, and create insightful visualizations that help drive better decision-making. My passion for process control and Python development has led me to work with a wide range of industrial clients, from small-scale startups to large-scale production facilities. I am always eager to take on new challenges, and thrive in fast-paced, dynamic environments where creativity and innovation are highly valued.