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Data Science with 4+ years in Data Analysis, Business Intelligence & Machine Learning
Results-driven data professional with 4+ years of experience delivering solutions across data analysis, business intelligence, data engineering, and machine learning. Proficient in Python, SQL, Power BI, Tableau, Scikit-Learn, and BigQuery, with a proven track record of building automated ETL/ELT pipelines, predictive models, and KPI dashboards that deliver measurable business outcomes across fintech, EV energy, and cryptocurrency sectors. Currently completing an MSc in Artificial Intelligence and Data Science (University of Hull, 2026). Skilled in statistical analysis, feature engineering, data modelling, and data governance, with the ability to translate complex datasets into actionable insights for technical and non-technical stakeholders.
University of Hull
MSc · Artificial Intelligence and Data Science
August 1, 2025 – June 30, 2026
Covenant University
BSc · Computer Science
August 1, 2017 – June 30, 2021
The Mentoring Lab
Youth Career Mentor
November 1, 2025 – Present
United Kingdom
Spiro (Electric Vehicle Company)
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Nigeria
Octave Analytics
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January 1, 2024 – September 1, 2024
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Softcom Limited (Eyowo)
Data Analyst
January 1, 2022 – December 1, 2023
Nigeria
Softcom Limited
Data Analyst (Contract)
June 1, 2020 – December 1, 2020
Nigeria
DASCA Associate Big Data Analyst (ABDA)
DASCA
April 1, 2024 – Present
Oracle Database SQL Certified Associate
Oracle
August 1, 2019 – Present
Cultural Fit Analysis
The candidate's diverse experience across fintech, EV energy, and consulting, coupled with their mentoring role, suggests adaptability and a collaborative spirit. Their pursuit of an MSc in AI and Data Science aligns with a growth-oriented culture. The ability to translate complex datasets into actionable insights for both technical and non-technical stakeholders indicates strong interpersonal skills and a focus on business impact, which are valuable for cultural fit in data-driven organizations.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through identifying operational inefficiencies and executing cost optimization. Their experience in mentoring and collaborating with various teams (engineering, product, program coordinators) highlights good communication and teamwork abilities. The focus on automating reports and building data pipelines indicates an operational mindset geared towards efficiency and reliability. Their role as a mentor also suggests a proactive and supportive work attitude.