Amir Motefaker's Linkedin Analytics

I am a big fan of computers. Well, I have been working with computers since 1992 which means starting with the DOS. First, I went to a computer class for a few months, and then my father saw that I was very interested in computers and bought me an IBM computer. Since I fell in love with mathematics in middle school, I decided to pursue mathematics in high school. I was in the second year of high school when I promised myself that I would definitely be accepted into the computer department at the university. Immediately after finishing my last year of high school, I took the entrance exam and was accepted into the computer hardware engineering department. Considering that I had worked in organizations and companies in the field of IT, I decided to participate in the entrance exam for my technical and scientific improvement in the master's course in my field, i.e. computer systems architecture. I participated and was accepted in the first year. During these years, I worked as an IT support engineer in various offices and companies, such as OS installation, hardware, software, network troubleshooting, active directory management, and ticketing software such as ServiceDesk Plus. I have full command of office products. I was very interested in selling hardware and software products and was a sales expert at several stages of my career. Since I realized in 2018 that the future of computers is in programming, I decided to start programming. After a lot of research, I decided to learn Python. In almost 1 year, I read the Python course self-study and wrote several small projects with Python, such as a calculator and guessing words. Then I realized that I must have a road map to continue the path in programming from now on. I decided to choose the field of data analysis. Since I knew Excel and had worked with SQL in various organizations in a preliminary way. I decided to improve my SQL and learn R language programming and Python libraries needed by any data analyst, such as Numpy, BeautifulSoup, Pandas, SciPy, Matplotlib, scikit-learn, and Seaborn. I learned linear algebra, I succeeded in about 9 months of constant and continuous effort and practice, which is available on my GitHub, and finally, I was able to find my way by doing various projects on Kaggle, Google Collab, and Jupyter Notebook platforms, and of course, I also learned the basics of Power BI and Tableau so that I can prepare complete reports with data visualization for projects with this software. Skills: Excel, SQL, Python, R, Power BI, Tableau and Sales