Elizabeth Ngozi Obibuogu
Data Analyst
Based in Nigeria
About
I am a results-driven Data Analyst skilled in Power BI, Excel, and SQL, with a strong focus on data visualization, dashboard development, KPI and DAX analysis, and reporting automation. I have delivered project-based analytics across sales, transportation, logistics, and customer performance, reducing manual reporting effort by 25–40% through clear, automated dashboards. I work effectively in remote environments, translate business requirements into actionable insights, and communicate findings clearly to both technical and non-technical audiences. I am currently seeking entry-level or internship data analyst opportunities, preferably remote, with international organizations.
Skills
Projects
Experience
2024- Present
Data Analyst at Vephla University, UK
While a student at Velphla University,I have worked on several data analytics projects that provided hands-on experience in analyzing large datasets and delivering actionable insights. Key responsibilities and accomplishments include: Data Cleaning and Preparation: Utilized Python and SQL to clean and preprocess data from various sources, ensuring data quality. Exploratory Data Analysis (EDA): Created visualizations and dashboards to present findings to stakeholders. Reporting and Communication: Generated comprehensive reports summarizing insights and recommendations. I have developed a strong foundation in data analytics techniques and technologies as a result of this training, which has improved my capacity to turn data into insightful business decisions.
Education
2024-2025
Data Analyst at Vephla University, UK
I'm now enrolled in Vephla University's Data Analytics program, where I'm learning in-depth concepts and useful abilities in statistical modeling, data analysis, and data visualization. My education in Python programming, SQL, machine learning, and data mining techniques will provide me with the skills necessary to extract valuable insights from intricate datasets and make valuable contributions to data-driven decision-making processes.