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Isaac OdusanyaIO
Looking for a job

Isaac Odusanya

@isaacodusanya1

I build reliable KPI dashboards and data pipelines that turn operational data into business decisions.

Nigeria
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What I'm looking for

I'm seeking a remote Data Analyst role where I can build reliable dashboards, KPI reports, and data pipelines that support operational decision-making.

I've built SQL and Power BI KPI reports for Kaya Motors and Özcelebi Oto, turning inventory, sales, and customer data into reliable operational reporting.

At Kaya Motors, my analysis of sales patterns, vehicle placement, and targeted customer offers contributed to a 4.8% increase in car sales. I maintained PostgreSQL datasets and applied data validation practices to improve the reliability of business insights.

I also built end-to-end analytics pipelines using Medallion Lakehouse architecture, PostgreSQL, Python, SQLAlchemy, Pandas, SQL, DAX, and Power BI. My projects include transforming raw transactional data into analysis-ready datasets, calculating 12+ KPIs, and creating interactive stakeholder dashboards.

I'm a High Honors Information Technology graduate who brings structured analysis, data quality thinking, and disciplined risk management to data-driven decision-making.

Experience

Work history, roles, and key accomplishments

SE
Current

Independent Analyst / Trader

Self-Employed

May 2021 - Present (5 years 4 months)

Applied structured data analysis, risk management, and pattern-recognition methods to evaluate financial market data, developing strong quantitative and decision-making skills.

SE

Career Development / Independent Learning

Self-Employed

Jul 2018 - May 2021 (2 years 10 months)

Built foundational skills in data analysis, Excel, SQL, Python, and financial market analysis through independent study and practical projects.

Education

Degrees, certifications, and relevant coursework

Eastern Mediterranean University logoEU

Eastern Mediterranean University

Bachelor of Science, Information Technology

2015 - 2018

Grade: High Honors, 3.83/4.0 CGPA

Graduated with High Honors and a 3.83/4.0 CGPA. Focused on information technology and data analysis.

Tech stack

Software and tools used professionally

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