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Data Science with 1+ years in Data Analysis, Visualization & Predictive Modeling
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Assessing your cultural and operational fit
Highly motivated and analytical individual with a BSc in Pure Mathematics and approximately 1.0 years of experience in data science. Proficient in Python, SQL, Excel, and leading visualization tools like Power BI and Tableau. Experienced in cleaning, analyzing, and visualizing large datasets, developing predictive models, and generating actionable insights to support decision-making processes.
University Of Lagos
BSc. · Pure Mathematics
August 1, 2018 – June 30, 2024
Ogun State Bureau Of Statistics
National Youth Service Corp
June 1, 2025 – May 31, 2026
Abeokuta South, Ogun State, Nigeria
The Haulage Hub
Intern
January 1, 2022 – December 31, 2022
Lagos Island, Lagos State, Nigeria
CWW Tech Africa
Intern
January 1, 2022 – December 31, 2022
Online
Google Data Analytic Professional Certificate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in Pure Mathematics, coupled with internships in data analysis and a pursuit of a Data Analytics certificate, shows a strong interest and alignment with a data-driven culture. Their involvement in a student association suggests an ability to engage within a community. The diversity of internship experiences (government bureau, tech Africa, haulage hub) indicates adaptability and a willingness to apply skills in different industry contexts. However, the experience level is entry-level, which might require significant mentorship for a senior role.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and skill development, as evidenced by pursuing online courses and certifications. Their experience in various internships suggests an ability to adapt to different work environments and contribute to data-related tasks. The leadership role as General Secretary for NAMSSN indicates potential for teamwork and organizational skills. However, the resume lacks explicit examples of problem-solving methodologies or collaborative project work beyond task execution, which are important for senior roles.