Oluwatimilehin Gbolasere

I’m an aspiring Data Analyst with strong foundations in data science, analytics, and business insights. I enjoy transforming raw data into actionable decisions—especially where investment and operational performance are involved.

My technical edge is hands-on work across Excel, SQL, and Python. I use Excel (advanced formulas, Power Query, Power Pivot, and VBA) for data cleaning and reporting, SQL for extraction and analysis, and Python for exploratory analysis and visualization with Pandas, NumPy, Matplotlib, and Seaborn.

I’ve built practical solutions through projects like Automated Reporting (Excel VBA), reducing manual reporting time by 40%, and SQL/Python analytics that surfaced financial and operational trends. I also create dashboards in Excel and Power BI to make insights clear and decision-ready.

I’m additionally certified in Level 5 NSQ in Data Science, a Data Analytics Bootcamp, and ALX Virtual Assistance training—where I managed digital workflows, scheduling, and reporting tasks.