Jimmy Gardner
About Jimmy Gardner
Jimmy Gardner is a Data Engineer at Thomson Reuters in McLean, Virginia, where he has worked since 2022. He specializes in natural language processing, web scraping, and employs various frameworks and tools for data analysis and visualization.
Work at Thomson Reuters
Jimmy Gardner has been employed as a Data Engineer at Thomson Reuters since 2022. He works in McLean, Virginia, where he applies his skills in data analysis and engineering. His role involves leveraging natural language processing techniques using NLTK to enhance data analysis tasks. Gardner utilizes a variety of frameworks and libraries, including Keras, Scikit-Learn, and Pandas, to execute his projects effectively.
Previous Experience at IWCO Direct
Before joining Thomson Reuters, Jimmy Gardner worked as a Data Engineer at IWCO Direct from 2021 to 2022. During his tenure in Oakland, California, he contributed to various data engineering projects, applying his knowledge and skills in data management and analysis.
Education and Expertise
Jimmy Gardner studied Applied Mathematics at the University of Arizona from 2015 to 2017. His educational background has equipped him with a strong foundation in mathematical concepts, which he applies in his data engineering work. He has developed expertise in web scraping using tools such as Selenium, Beautiful Soup, and Scrapy, and employs SQLAlchemy for database management and integration.
Experience at Metis
In 2021, Jimmy Gardner worked as a Student at Metis for a duration of six months. This experience contributed to his development in data engineering and analytics, allowing him to enhance his technical skills and gain practical knowledge in the field.
Data Analysis Tools and Techniques
Jimmy Gardner utilizes a diverse set of tools for data visualization and analysis, including Tableau and Google Sheets. His proficiency in these tools, combined with his skills in natural language processing and web scraping, enables him to effectively analyze and present data in his projects.