David Simeon
About David Simeon
David Simeon is a Virtual Data Visualization Intern at Tata Group, where he has worked since 2022. He holds a Bachelor of Technology in Biochemistry from the Federal University of Technology Minna and a Micro Degree in Data Analytics from Ustacky.
Work at Tata Group
David Simeon has been employed at Tata Group as a Virtual Data Visualization Intern since 2022. In this role, he focuses on applying data visualization techniques to enhance decision-making processes. His responsibilities include utilizing various data visualization tools to present data in an accessible format, contributing to the company's analytical capabilities.
Education and Expertise
David studied Biochemistry at the Federal University of Technology Minna, where he earned a Bachelor of Technology (BTech) from 2012 to 2019. He furthered his education by obtaining a Micro Degree in Data Analytics from Ustacky, completing the program in 2023. This combination of education has equipped him with a strong foundation in both scientific and analytical skills.
Previous Experience at PwC Switzerland
Before joining Tata Group, David Simeon interned as a Virtual Data Analyst at PwC Switzerland in 2022 for three months. During this internship, he gained practical experience in data analysis, which contributed to his understanding of data-driven decision-making in a professional environment.
Skills in Data Visualization
David actively seeks opportunities to apply data visualization techniques in his work. He has participated in a virtual internship program that focused on enhancing skills in data visualization tools such as Power BI and Tableau. This experience has allowed him to develop a practical understanding of how to effectively communicate data insights.
Continuous Learning in Data Analysis
David engages in continuous learning to remain updated with the latest trends in data analysis and business analysis. This commitment to professional development reflects his dedication to enhancing his skills and adapting to the evolving landscape of data analytics.