About
Recent Master's graduate in Big Data Analytics with a strong foundation in data analysis and visualisation. Gained valuable hands-on experience through an internship at a dynamic tech company, complementing academic knowledge with practical skills. Expertise spans from client reporting and communication to advanced data analysis and visualisation. Skilled at translating complex data into actionable insights for both technical and non-technical stakeholders, driving operational efficiency and business growth. My skill profile includes:
- Computational programming: Possesses strong SQL skills for efficient data manipulation and processing. Proficient in using Python libraries such as Pandas for data analysis and Numpy for numerical analysis
- Communication and Data presentation: Can translate findings from highly complex data sets into simple terms for non-technical audiences. Skilled in using Tableau for data visualisation and presenting complicated ideas and analyses to non-experts stakeholders.
- Mathematical and Statistical methods: : Skilled in using mathematical and statistical techniques such as descriptive statistics to understand the shape and relationships in data, estimation statistics to quantify the performance of model predictions and inferential statistical tests to quantify the relationships between different predictive algorithms.
- Teamwork and Continuous Learning: Enjoys working as a team member in achieving project goals and investing time and effort in learning and acquiring new skills
Experience
- Assisted in customer churn analysis by cleaning and preprocessing data using Python, contributing to the development of predictive models.
- Supported the creation of business intelligence dashboards using SQL and Power BI, helping to consolidate data from multiple systems.
- Collaborated with cross-functional teams to gather requirements for a predictive analytics tool, participating in agile development processes.
- Created data visualisations using Tableau to support internal reports and presentations.
- Participated in data literacy workshops, enhancing understanding of data-driven decision-making processes
Projects
A project that explores the correlations between movie features
- Findings and Insights:The exploratory data analysis reveals significant positive correlations between votes and gross revenue, as well as between budget and gross revenue. These findings align with the common understanding that popular movies with higher budgets tend to generate more revenue.
Tools and Certifications
Tools
Certifications
Education
Sheffield, United Kingdom
Degree: Master of Science in Big Data Analytics
Class of Degree: Distinction
- Data Analytics: Tools and Techniques
- Programming Concepts and Practice
- Advanced Data Management Project
Relevant Courseworks:
University of Benin, Nigeria University
Benin, Nigeria
Degree: Bachelor of Engineering in Computer Engineering
Class of Degree: Second Class Upper Division
- Data Structures and Algorithms
- Database Management Systems
- Data Communications
- Machine Learning
- Computer Vision
Relevant Courseworks: