Agboola Franklin
@agboolafranklin
Results-driven Data & Business Analyst skilled in Power BI, SQL, and predictive analytics.
What I'm looking for
I am a results-driven Data & Business Analyst with a B.Sc. in Mathematical Science and hands-on experience delivering business intelligence, predictive analytics, and data governance. I build and automate interactive dashboards, design optimized SQL queries, and translate complex datasets into actionable strategies that drive operational efficiency and revenue growth.
At Management Edge Limited I led data protection initiatives, developed forecasting models, and trained teams in Power BI and visualization best practices, while maintaining strict data quality standards. I am passionate about leveraging analytics to improve customer engagement and support strategic decision-making.
Experience
Work history, roles, and key accomplishments
Data Analyst
Management Edge Limited
Sep 2023 - Present (2 years 1 month)
Developed and automated interactive Power BI and Excel dashboards delivering real-time exam performance and operations insights; conducted predictive analytics to forecast registration trends and revenue growth. Led data governance and training initiatives to improve data quality and compliance.
Data Analyst Intern
Management Edge Limited
Jul 2020 - Oct 2020 (3 months)
Assisted in data cleaning, processing, and visualization to improve decision-making efficiency and maintained a 99% data accuracy rate through validation and QA. Created KPI reports to track operational performance.
Customer Service/Data Analyst Intern
Computer Warehouse Group
Aug 2019 - Dec 2019 (4 months)
Performed trend analysis on customer interactions to identify pain points and improve service delivery and presented data-driven reports to enhance customer experience strategies. Assisted in designing SQL queries for large dataset extraction.
Education
Degrees, certifications, and relevant coursework
Adekunle Ajasin University
Bachelor of Science, Mathematical Science
Completed a Bachelor of Science in Mathematical Science with coursework in statistics, data science, business analytics, and machine learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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