Dear Hiring Manager, I am writing to apply for the Data Engineering/Data Science position at this company. With a background in Physics and hands-on experience in Python, SQL, data analysis, and machine learning projects, I am interested in building a career in Data Engineering and Data Science. Through academic and personal projects, I have worked extensively with structured datasets, including financial and customer-related data. My experience includes data cleaning and transformation, exploratory data analysis, feature engineering, SQL querying, data visualization, and machine learning. I have used Python and libraries such as pandas and scikit-learn, as well as SQL and tools including Power BI and Tableau. I am particularly interested in data engineering because I enjoy understanding how raw data can be transformed into reliable, structured, and useful information for downstream analytics and machine learning. I have also explored technologies and concepts related to data pipelines, databases, cloud platforms, automation, CI/CD, Docker, and data processing, and I am motivated to continue developing these skills in a professional environment. My Physics background has given me strong analytical and quantitative problem-solving abilities, while my transition toward AI and Data Science has allowed me to develop practical experience with modern data technologies. I am a motivated early-career candidate who learns quickly, enjoys solving technical problems, and is eager to contribute to a data-focused team. Thank you for considering my application. I would be pleased to discuss how my background and motivation could contribute to the company. Kind regards, John-Giannis Bendaj…Dear Hiring Manager, I am writing to apply for the Data Engineering/Data Science position at this company. With a background in Physics and hands-on experience in Python, SQL, data analysis, and machine learning projects, I am interested in building a career in Data Engineering and Data Science. Through academic and personal projects, I have worked extensively with structured datasets, including financial and customer-related data. My experience includes data cleaning and transformation, exploratory data analysis, feature engineering, SQL querying, data visualization, and machine learning. I have used Python and libraries such as pandas and scikit-learn, as well as SQL and tools including Power BI and Tableau. I am particularly interested in data engineering because I enjoy understanding how raw data can be transformed into reliable, structured, and useful information for downstream analytics and machine learning. I have also explored technologies and concepts related to data pipelines, databases, cloud platforms, automation, CI/CD, Docker, and data processing, and I am motivated to continue developing these skills in a professional environment. My Physics background has given me strong analytical and quantitative problem-solving abilities, while my transition toward AI and Data Science has allowed me to develop practical experience with modern data technologies. I am a motivated early-career candidate who learns quickly, enjoys solving technical problems, and is eager to contribute to a data-focused team. Thank you for considering my application. I would be pleased to discuss how my background and motivation could contribute to the company. Kind regards, John-Giannis BendajWWWW…