Position: Data Engineer
Category: Data Science
English level: fluent
Years of experience: 0.5

In both my academic and extracurricular endeavors, I have made significant progress.

One of my greatest achievements was winning several hackathons where I used my data science and machine learning expertise to solve actual issues. In addition to polishing my technical abilities, these experiences helped me develop vital teamwork, communication, and problem-solving skills that are essential in the tech industry.

I have taken various trainings and courses in AI and data science, including hands-on projects that allowed me to obtain particular expertise in these subjects, in addition to hackathons. These encounters have given me a thorough understanding of the algorithms and tools that underlie AI and data science, as well as how to apply them to tackle challenging issues.
I've completed a number of projects involving data modeling and analysis. As an example, I created a face verification application with computer vision techniques and a home prediction model that required web data to be scraped and cleaned. I've also won numerous data science and machine learning competitions at regional universities.

As the president of the Data Science club at my university, my current role in the team involves organizing events and workshops related to data science and machine learning. I also mentor team members on data science projects and facilitate discussions on current developments and trends in the industry.
I have a lot of experience with Python, as well as frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas, among other technologies. For machine learning projects, I have also employed cloud infrastructure like Google Cloud Platform and Amazon Web Services.
Moving forward, I also have good comprehension of Tableau, a data visualization tool, and  MS SQL for querying the data for the projects. Also, I want to keep learning about the most recent developments in deep learning and machine learning and explore new tools and technologies that can improve my data science skills.