As a data analyst with a strong expertise in web scraping and data processing, I have a proven track record of delivering actionable insights and driving data-driven decision-making. With experience as a team leader and a team player, I excel at setting strategic plans, providing regular reports, and troubleshooting issues to ensure smooth project execution. My primary focus has been on web scraping large volumes of data from diverse sources, such as YouTube and Udemy, using Python libraries such as Selenium and BeautifulSoup. I am skilled in organizing data into structured formats, such as CSV and Excel, and proficient in data cleaning techniques using Pandas and NumPy.

In my current role as a Data Analyst at Analytic Company GmbH , I am responsible for handling multiple datasets each month. This involves inputting and processing vehicle-related data into our data entry system and online editor, performing quality checks, filling in missing values, conducting analysis on specific models, and comparing data sets. I consistently ensure data accuracy and integrity while conducting thorough research to fill in any missing information. I take pride in my attention to detail and my ability to extract meaningful insights from complex datasets.

Prior to my current role, I worked as a freelancer, collaborating with various companies and clients through platforms like Upwork, as well as through personal contacts. As a freelancer, I undertook diverse data-related projects, including data analysis, data entry, web scraping, and data visualization. This experience has honed my ability to adapt to different requirements and work independently, while maintaining a high level of quality and meeting project deadlines.

I am passionate about leveraging my expertise in data analysis, web scraping, and Python programming to contribute to data-driven decision-making and business success.